Lead and evolve the Angular frontend architecture for a mobile banking channel, setting standards for code, modularity, reusable components, performance, and integration with APIs and microservices. Establish automated build, test, and deployment practices, conduct code reviews, promote quality, and mentor junior and mid-level developers.
Design, build, and maintain complex back-end software solutions using C#, .NET, and SQL Server. Collaborate with a multicultural team to implement best practices, perform code reviews, and guide junior developers.
Design, build, and maintain complex back-end software solutions using C#, ADO.NET, and SQL Server. Provide technical guidance to junior team members and ensure the adoption of best practices and new technologies.
Design, develop, and maintain scalable backend services and APIs using Go and Python within a microservices architecture. Integrate LLM capabilities and RAG pipelines into backend systems to enable intelligent, context-aware workflows.
Design, develop, and maintain scalable backend services using Go and Python within a microservices and event-driven architecture. Integrate LLM capabilities and AI orchestration patterns to enable intelligent, context-aware workflows.
Refine clear, testable specifications and acceptance criteria, translate them into test scenarios, and define quality gates for AI-agent workflows. Build and maintain automated API, backend, and mobile test suites; review AI-generated code and tests; analyze failures; track quality metrics; and promote responsible AI and quality practices across the team.
The Senior DevOps Engineer will own the day-to-day operations of the Datadog platform, including monitoring, alerting, and log management. They will also collaborate with engineering and InfoSec teams to ensure service reliability, security compliance, and efficient incident resolution.
You will build and maintain backend services using ASP.NET Core and Entity Framework while developing frontend interfaces with Next.js and React. The role involves collaborating with global teams to deliver high-quality, tested code within an Agile framework.
Design, develop, and maintain scalable Java and Spring Boot back-end services and microservices, including RESTful APIs and integrations with external systems. Collaborate with stakeholders and cross-functional teams on technical decisions, quality, performance, testing, troubleshooting, and continuous improvement.
Design end-to-end AI architectures and prototypes, including generative AI, agentic workflows, RAG, and intelligent automation, translating business needs into secure, scalable production solutions. Collaborate with engineering and business teams to integrate, evaluate, monitor, document, and govern AI solutions and reusable architecture patterns.
Define and drive architectural decisions to ensure solutions are scalable, secure, and sustainable, while supporting implementation, reviewing technical solutions, and promoting sound engineering practices. Serve as the team's technical reference and work with client technical experts to connect business needs with technical decisions.
You will build and evolve scalable Android applications using Kotlin and Jetpack Compose while leading code reviews and technical discussions. Additionally, you will mentor junior developers and collaborate with cross-functional teams to ensure high-quality feature delivery.
Define the motion strategy and cohesive movement language for a new design system, including component behaviors, screen transitions, feedback states, and motion for offer cards and features. Create high-fidelity prototypes and technical motion documentation for engineering, promote motion practices across the design team, and support polished visual presentations and storytelling.
Lead the technical implementation of Salesforce solutions, including configuration, custom development, and data migration. Manage release cycles, conduct code reviews, and provide technical guidance to the global development team.
Design, build, and manage cloud infrastructure using an IaC-first approach while implementing CI/CD pipelines to streamline software delivery. Provide operational oversight for production infrastructure and develop observability solutions to ensure system health and performance.
The role involves designing, developing, and maintaining scalable data pipelines and infrastructure to support global data analytics and machine learning solutions. You will collaborate with cross-functional teams to ensure data integrity and implement CI/CD processes for ETL workflows.
Gather, analyze, and document business requirements while applying Agile practices and financial services expertise to support project delivery. Analyze workflows and data flows, optimize processes, and facilitate integration between transactional systems in a distributed team environment.
Develop full-stack solutions using Java and Angular for a major client in the financial sector. Collaborate with the team and client, contribute to problem-solving and improvements, and support reliable delivery in an inclusive, agile environment.
Support the implementation and evolution of Java solutions, establish development standards, review code, and contribute to architecture and solution design. Build and maintain integrations with APIs and external systems, manage releases and deployments, and test solutions for robustness and security.
Lead the software engineering team, plan sprints, translate business requirements into technical work, mentor engineers, and ensure high-quality delivery. Drive the adoption of generative AI tools to improve development productivity and help design scalable, secure Java microservices that integrate with LLM services.
Develop complex mobile features and mechanisms, and ensure delivery quality through code reviews, static analysis, and automated testing. Participate in business and technical planning, champion Continuous Delivery, and improve team efficiency through engineering practices.
The Senior AI Analyst will identify, evaluate, and implement AI solutions while connecting technological potential to business needs. They are responsible for executing proofs of concept, designing integration architectures, and ensuring solutions adhere to security, privacy, and governance standards.
The role involves defining and executing data quality checks and reconciliation logic to ensure financial data accuracy against benchmarks. You will also build and maintain BI dashboards to provide visibility into data quality status for stakeholders.
Define and execute data quality checks and reconciliation logic to ensure curated data aligns with Finance benchmarks. Validate migrated reports and dashboards for parity against legacy systems while documenting root causes for any identified variances.
Build and maintain transformation logic for a large-scale finance data platform using versioned SQL and incremental patterns. Implement data quality checks and reconciliation processes while enabling downstream consumers to access governed curated data objects.
Build and maintain transformation logic for a large-scale finance data platform using versioned SQL and incremental patterns. Implement data quality checks and reconciliation processes while supporting downstream consumers with governed data objects.
You will design, develop, and maintain intelligent AI agents and LLM-powered applications using Python and AWS services. Additionally, you will implement evaluation frameworks and guardrails to ensure the accuracy, reliability, and safety of AI-generated outputs.
The Senior SDET will contribute to AI-native execution and technological transformation projects for large enterprises. They will collaborate with cross-functional teams to build solutions that leverage AI and modern software development lifecycles.
Orchestrate the use of AI and intelligent agents across the software development lifecycle, refining task context and applying engineering governance to ensure high-quality AI-generated code. Guide teams in testing, code reviews, and observability, and help shape Java/Spring, microservices, and messaging architectures while aligning technical decisions with stakeholders.
Collaborate with business teams to understand client needs, contribute to product and technical decisions, and build secure, scalable, resilient, and monitorable applications. Ensure code quality through best practices and automated tests, support deployment and production operations, document solutions, and deliver value incrementally.
The Data Architect will design and document end-to-end integration architectures to unify data across core business systems like ERP and CRM. They will also provide technical leadership to the development team while ensuring adherence to architecture guidelines and data governance standards.
The Data Architect will design and implement end-to-end integration architectures to unify data across core business systems like ERP and CRM. They will provide technical leadership, mentor development teams, and ensure data consistency through robust governance and optimization strategies.
You will design, develop, and execute automated test scripts for web, mobile, and desktop applications while collaborating with cross-functional teams. Your role involves performing functional, regression, and API testing to ensure high-quality software delivery throughout the development lifecycle.
Lead requirements gathering and design sessions to implement end-to-end case management solutions within Microsoft Dynamics 365. Collaborate with cross-functional teams to ensure configurations align with business objectives, compliance standards, and best practices.
Design and build a scalable lakehouse data platform from the ground up, managing the full lifecycle from ingestion to consumption. Provide technical leadership by setting engineering standards and collaborating directly with client stakeholders to deliver AI-native solutions.
Lead the analysis and design of Microsoft Dynamics 365 Customer Service solutions by gathering requirements and defining case management processes. Collaborate with cross-functional teams to configure workflows, routing rules, and SLAs while ensuring alignment with business objectives.
Design, develop, and integrate full-stack application components using React and Java. Collaborate with cross-functional teams to build scalable microservices while ensuring code quality, performance, and security.
You will design and implement end-to-end technical solutions for cloud enterprise platforms using Python and React. Additionally, you will maintain resilient systems, investigate production issues, and leverage AI tools to accelerate development and troubleshooting.
You will lead the design and development of robust data pipelines while ensuring the quality, reliability, and security of ingested data. Additionally, you will provide technical guidance to peers and collaborate with cross-functional teams to meet strategic business needs.
You will work hands-on with complex Java applications, utilizing AI-assisted tools to analyze, refactor, and modernize legacy codebases. Additionally, you will collaborate with engineering teams to establish repeatable AI-driven development practices and improve overall test coverage.
Provide technical leadership to data engineering squads by defining standards, overseeing pipeline design, and ensuring best practices for the Lakehouse architecture. Collaborate with stakeholders to translate business requirements into scalable solutions while mentoring engineers and optimizing system performance.
Design, develop, and maintain scalable backend services and APIs using Go and Python within a microservices architecture. Integrate LLM capabilities and AI orchestration patterns to enable intelligent, context-aware application workflows.
Design, develop, and maintain scalable backend services using Go and Python within a microservices and event-driven architecture. Integrate AI and LLM capabilities, including RAG pipelines and tool calling, into distributed backend systems.
The Senior Data Steward will manage metadata, maintain data documentation, and ensure adherence to data governance policies across the organization. They will act as a bridge between business and technical teams to improve data quality, usability, and trust.
Define and execute the end-to-end adoption and change management strategy for a global product portfolio. Collaborate with product, design, and engineering teams to measure success, reduce user friction, and drive product desirability.
Define, build, and maintain high-performance data pipelines within the Azure ecosystem while ensuring data quality and security. Collaborate with BI, Data Science, and Software Engineering teams to deliver consistent data solutions and integrate new technologies.
Design, develop, and maintain scalable backend services and RESTful APIs using a modern .NET stack. Collaborate with cross-functional teams to implement event-driven integrations and ensure high standards of code quality and observability.
The Data Product Manager will own the full lifecycle of Finance Analytics products, translating financial business rules and stakeholder needs into actionable requirements for technical teams. They will also coordinate monthly financial closing processes, manage functional backlogs, and lead investigations into financial anomalies.
The role involves designing, building, and deploying AI-enabled business applications to support supply chain and logistics operations. You will work closely with data scientists to integrate machine learning models, manage PostgreSQL databases, and maintain automated data pipelines.
Lead the data team technically by providing hands-on guidance on the design, development, and maintenance of data products and pipelines. Define the target data architecture and collaborate with client stakeholders to translate business requirements into scalable technical solutions.
The Senior Data Architect will lead the data team technically, providing hands-on guidance for the design, development, and maintenance of data products and pipelines. They are responsible for defining the target data architecture and collaborating with client stakeholders to ensure alignment with business and technical requirements.
Design, build, and maintain complex back-end services using C#, ADO.NET, and SQL Server while ensuring reliability through testing and monitoring. Collaborate with a multicultural team to integrate systems and mentor junior engineers on best practices.
Lead the development of FullStack solutions using .NET and Angular while orchestrating AI tools to optimize software development workflows. Ensure code quality through rigorous validation, automated testing, and the application of robust architectural design patterns.
The Senior Data Developer will design, build, and maintain relational and lakehouse data pipelines to ensure data accuracy and performance for analytics and applications. They will also manage data governance, mentor team members, and collaborate with architects to implement high-quality data solutions.
The Senior Data Developer will design, build, and maintain relational and lakehouse data pipelines while ensuring data quality and governance. They are responsible for technical ownership of the data layer, including performance tuning, schema design, and mentoring team members.
The specialist will manage enterprise cybersecurity risk, maintain the risk registry, and ensure adherence to regulatory standards like HITRUST and HIPAA. They will also develop cybersecurity policies and conduct third-party risk assessments to identify and mitigate vulnerabilities.
The AI Solutions Developer will design, build, and deploy AI-enabled business applications to support supply chain and operational processes. They will also manage database development, data integration, and the operationalization of machine learning models within containerized environments.
The AI Orchestrator will lead and coordinate software engineering initiatives by translating project missions into actionable delivery plans. They act as the primary interface between technical teams and business stakeholders to ensure alignment, manage risks, and maintain project momentum.
Lead complex legacy system modernization initiatives by defining transition architectures and driving technical execution. Utilize AI-assisted development workflows to analyze codebases, generate documentation, and guide engineering teams through the modernization process.
The Data Product Manager will lead the full lifecycle of data products from ideation through deployment and optimization. They are responsible for defining roadmaps, managing data architecture, and leading cross-functional teams to deliver high-quality data solutions.
The Data Product Manager will lead the full lifecycle of data products, from ideation through deployment and optimization. They are responsible for defining roadmaps, managing data architecture, and leading cross-functional teams to deliver high-quality, data-driven solutions.
You will work hands-on with complex Java applications to modernize legacy systems and improve codebases using AI-assisted development tools. The role involves collaborating with engineering teams to implement structured AI workflows, including reverse engineering and automated test generation.
Lead requirements analysis and design for end-to-end case management solutions in Microsoft Dynamics 365 Customer Service, including workflows, routing, queues, SLAs, entitlements, and knowledge integration. Collaborate with clients and cross-functional teams, document processes and specifications, and facilitate workshops and Agile ceremonies to ensure solutions meet business and compliance needs.
Lead requirements gathering and design sessions to implement end-to-end case management solutions within Microsoft Dynamics 365. Collaborate with cross-functional teams to ensure configurations align with business objectives, compliance standards, and best practices.
Support the operation, monitoring, and maintenance of database environments, including routine backup, restoration, and integrity-check procedures. Assist with SQL queries, user permissions, and troubleshooting basic access or performance issues while collaborating with the technical team.
The Principal Data Architect will own the end-to-end target architecture for a large-scale data platform modernization, migrating legacy finance reporting to a governed cloud environment. This hands-on role involves designing data layers, leading technical discovery with client teams, and working directly within the codebase alongside developers.
The role involves designing and implementing sensitive-data classification, dynamic masking, and access-tiering rules for a large-scale financial data platform. You will collaborate with security and compliance stakeholders to ensure governance policies are auditable and meet regulatory requirements before implementation.
The Data Product Manager will own and rationalize the reporting backlog for a large-scale Finance data platform modernization project. They will act as the primary bridge between client Finance stakeholders and the development squad to ensure requirements are met and delivery gates are achieved.
The Principal Data Architect will own the end-to-end target architecture for a large-scale data platform modernization, including CDC replication and cloud data warehouse design. They will work hands-on with the development team to build solutions, lead technical discovery with clients, and establish quality gates for architecture decisions.
The Data Product Manager will own and rationalize the reporting backlog for a large-scale Finance data platform modernization project. They will act as the primary bridge between Finance stakeholders and the development team to ensure requirements are clear and delivery gates are met.
The role involves leading sensitive-data classification, designing dynamic masking policies, and defining access-tiering models for a large-scale financial data platform. You will partner with security and compliance stakeholders to ensure governance artifacts are implemented and approved before the build phase.
Design, develop, and maintain robust data pipelines using Databricks, Apache Spark, SQL, and Python or Scala. Collaborate with cross-functional teams to process large datasets while ensuring data quality, governance, and performance optimization.
Develop and maintain full-stack applications using Java and Angular, applying distributed architecture, microservices, and microfrontend approaches. Collaborate with the team and clients to deliver solutions, and contribute to testing, automation, and CI/CD processes.
Define and evolve architectures for AI, data, and automation solutions, including standards for integrations, observability, technical governance, and scalability. Lead initiatives in information quality, intelligent agents, knowledge-base development, and continuous evaluation of AI models and applications, while serving as a technical reference across teams and supporting business-focused data products and AI applications.
Perform thorough QA and UAT on web pages, components, and releases to validate functionality, accessibility, and cross-browser behavior. Support sprint activities, manage backlog updates, and coordinate releases to ensure quality standards are met.
Develop and maintain full-stack applications using Java, Spring, and Angular, working with APIs, databases, distributed architectures, microservices, and microfrontends. Collaborate with the team and clients, contribute to testing and automation, and work within Scrum and CI/CD processes.
The Senior Data Engineer will build transformation logic for a large-scale finance data platform, converting raw data into governed business measures. They will also implement data quality checks and support downstream consumers by enabling access to curated data objects.
The Data Developer will design, build, and maintain scalable data pipelines and architectures to support business intelligence and analytics initiatives. They will also ensure data quality, implement security best practices, and collaborate with cross-functional teams to deliver high-performance data solutions.
The Master DataOps Developer will own the operational backbone, including environment provisioning, CI/CD pipelines, and monitoring for a large-scale finance data platform. They are responsible for implementing cost governance, maintaining delivery artifacts, and facilitating knowledge transfer to the client's operations team.
The role involves defining and executing data quality checks and reconciliation logic to ensure curated data aligns with Finance benchmarks. Additionally, the analyst will validate migrated reports and dashboards while maintaining quality status visibility for stakeholders.
Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently. Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability while implementing data governance practices.
Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently. Collaborate with cross-functional teams to implement data quality measures and maintain robust data lake and warehouse solutions.
The Data Product Manager will lead cross-functional teams to develop and deliver high-quality data products throughout their entire lifecycle. They are responsible for analyzing data to support business growth, prioritizing tasks, and aligning data initiatives with stakeholder needs.
Lead the technical direction and architecture of a data modernization engagement, guiding a multidisciplinary team through the design, development, and deployment of data products. Align technical solutions with client business needs, collaborate across functions and markets, and contribute to data assessments and CI&T's broader data practice.
Lead the technical direction of a data modernization engagement, guiding a multidisciplinary team in designing, building, and deploying secure, high-performing data products. Align technical solutions with client business needs, collaborate across functions and markets, and contribute to data assessments and the broader data practice.
The Data & Analytics Manager will oversee the entire lifecycle of data products, from ideation and development to deployment and optimization. They will lead cross-functional teams and provide data analysis to support business growth through effective visualization and prioritization.
The Data Developer will design, build, and maintain scalable data infrastructure and ETL/ELT pipelines to support business intelligence needs. They will also implement data architectures, ensure data quality and governance, and collaborate with cross-functional teams to deliver high-performance data solutions.
The Master DataOps Developer will own the operational backbone, including environment provisioning, CI/CD pipelines, and monitoring for a large-scale finance data platform. They are responsible for implementing cost governance, maintaining architecture records, and facilitating knowledge transfer to the client's operations team.
You will build transformation logic for a large-scale finance data platform, converting raw data into governed business measures. Additionally, you will implement data quality checks and support downstream consumers by providing approved curated data objects.
Define and execute data quality checks and reconciliation logic against curated finance data to ensure accuracy against benchmarks. Validate migrated reports and dashboards for parity with legacy systems while maintaining quality documentation for stakeholders.
The Data & Analytics Manager will lead cross-functional teams to develop and deliver high-quality data products while overseeing the entire lifecycle from ideation to deployment. They are responsible for translating behavior metrics into business insights and driving data-driven strategies for major e-commerce clients.
The Data Tech Lead will oversee multiple data engineering teams to deliver scalable, high-quality data solutions while fostering technical excellence and innovation. They will act as a technical advisor to clients and stakeholders, ensuring that all data platforms align with business goals and engineering best practices.
The Data & Analytics Manager will lead cross-functional teams to develop and deliver high-quality data products while overseeing the entire lifecycle from ideation to deployment. They are responsible for translating behavior metrics into business insights and driving data-driven initiatives for international customers.
The AI Orchestrator coordinates workflows between humans and AI agents to optimize the SDLC and ensure process compliance. They lead the squad, define clear goals, and facilitate communication with the Product Owner to remove productivity blockers.
You will assist in the design, development, and implementation of scalable Cloud-Native software solutions using .NET and React. Additionally, you will collaborate with senior developers to ensure the successful delivery of microservices and responsive frontend applications.
Design and architect scalable, production-ready AI solutions including intelligent agents and RAG systems. Lead technical initiatives and establish LLMOps practices to ensure performance, reliability, and business impact.
The Senior Software Developer will act as a technical reference for client teams, guiding architecture decisions and the evolution of the SDLC. They will identify and implement AI-driven solutions to enhance development productivity, quality, and efficiency.
Develop and maintain full-stack applications with a primary focus on React frontend development and .NET/C# backend services. Implement automated tests, manage event-driven architectures, and contribute to CI/CD pipelines using Azure DevOps.
Design, develop, and implement complex Drupal-based web solutions while leading the architecture of new features. Collaborate with international clients and project managers to translate requirements into technical solutions while mentoring junior developers.
Design, develop, and implement complex Drupal-based web solutions while leading the architecture of new features. Collaborate with international clients and project teams to translate requirements into technical solutions while mentoring junior developers.
The Squad Leader will mentor and empower a cross-functional team to drive project delivery and foster a culture of collaboration. They are responsible for managing day-to-day activities, aligning with stakeholders, and overseeing sprint processes to ensure project success.
The Master .NET Specialist will design, build, and maintain complex back-end services while ensuring service reliability through testing and proactive troubleshooting. They will also provide technical guidance to the team, conduct code reviews, and contribute to CI/CD workflows to enhance development efficiency.
The Data Engineer Specialist will lead the end-to-end data chain, including ingestion, pipeline development, and the creation of certified datasets. They are also responsible for developing high-performance Power BI semantic models and ensuring robust data governance and system integration.
You will design and build intelligent AI agents and advanced architectures to deliver scalable, production-ready solutions. The role involves leveraging Generative AI across the entire product development lifecycle, from initial requirements to continuous monitoring and optimization.
Design, develop, and execute comprehensive test plans and automated scripts for web, mobile, and desktop applications. Collaborate with cross-functional teams to identify defects and ensure high-quality software delivery throughout the development lifecycle.
You will own the end-to-end architecture of distributed, cloud-native systems and translate complex business requirements into shippable technical plans. Additionally, you will raise the team's technical standards through code reviews, design critiques, and mentorship.
Manage the tactical execution of a dedicated AI squad to ensure the timely delivery of functional agents and regulatory phase gates. Interface with domain squads to resolve blockers and oversee the transition of AI models from development to certification.
You will own the end-to-end multi-account AWS network foundation, including Transit Gateway design, VPC architecture, and routing posture enforcement. Additionally, you will manage infrastructure as code using Terraform and ensure robust log delivery and governance across the cloud environment.
The Senior Data Developer will contribute to existing code repositories by maintaining and extending data pipelines, application interfaces, and machine learning models. They will collaborate within a cross-functional team to support digital supply chain analytics and ensure reliable data flow between enterprise systems.
The Senior Data Developer contributes to existing code repositories by maintaining and extending data pipelines, application interfaces, and machine learning models. They collaborate within a cross-functional team to ensure the success of projects related to digital supply chain analytics.
You will own the end-to-end architecture of distributed, cloud-native systems and translate complex business requirements into shippable technical plans. Additionally, you will raise the team's technical standards through code reviews, design critiques, and active mentorship.
You will design, develop, and deploy scalable .NET-based microservices and responsive React frontend applications. Additionally, you will manage Azure DevOps pipelines and provide technical mentorship to junior developers.
You will own the end-to-end AWS enterprise architecture and lead the operational team in technical direction and hands-on development. Additionally, you will design and orchestrate AI agents to automate delivery and modernize legacy systems while maintaining client-facing architectural standards.
You will own the end-to-end AWS enterprise architecture, including multi-account governance, security posture, and hybrid connectivity. Additionally, you will lead the operational team, set technical direction, and actively build infrastructure using CDK and agentic tooling.
Design and define scalable, secure, and high-performance data architectures while providing technical leadership to engineering teams. Collaborate with stakeholders to implement AI-ready data solutions and establish architecture standards for modern data platforms.
Responsible for managing and scaling cloud infrastructure on AWS to ensure high availability and performance. You will implement and maintain CI/CD pipelines and automation processes to streamline software delivery.
The developer will design and manage the graph data layer, including schema creation, entity ingestion, and probabilistic matching to support AI-powered recommendations. They will collaborate with machine learning and GenAI teams to optimize query performance and ensure data accuracy for real-time applications.
The developer will design and maintain a knowledge graph schema to transform unstructured editorial content into structured data for AI recommendations. They will also build ingestion workflows and optimize graph queries to ensure high-performance retrieval for AI agents.
Develop and maintain full stack applications using Oracle backend technologies and modern frontend frameworks. Model and optimize Oracle relational databases while designing APIs for integration between legacy and modern systems.
You will develop and maintain full stack applications using Oracle backend technologies and modern frontend frameworks. Additionally, you will model and optimize Oracle databases while collaborating in agile teams to deliver scalable software solutions.
You will architect and deploy scalable generative AI applications using foundation models and multi-agent systems. Additionally, you will collaborate with cross-functional teams to integrate AI solutions into enterprise environments while optimizing performance and quality.
You will architect and deploy scalable generative AI systems, including RAG pipelines and multi-agent architectures using foundation models. Additionally, you will develop robust backend services, optimize prompt engineering, and collaborate with cross-functional teams to deliver production-ready AI solutions.
The Sales Engineer will drive business impact by leveraging AI deployment and tech-integrated solutions for large enterprises. They will collaborate across teams to accelerate innovation and execute technological transformation strategies.
Lead a multidisciplinary squad by orchestrating AI agents across the entire Software Development Life Cycle to ensure efficient delivery. Coordinate workflows, monitor AI output quality, and facilitate agile ceremonies to align human and AI collaboration.
Design and implement scalable generative AI systems and RAG pipelines to drive business value for clients. Balance time between active AI user support, troubleshooting, and the proactive development of AI agents and internal automation tools.
Design, develop, and maintain integration solutions using Tibco and Workato to connect various applications and systems. Collaborate with stakeholders to translate business requirements into technical specifications and ensure seamless data flow.
The role involves owning the complete lifecycle of data products from ingestion and modeling to final delivery for AI and analytics environments. The developer acts as a bridge between business stakeholders and technology to translate complex requirements into scalable technical solutions.
The role involves owning the complete lifecycle of data products from ingestion and modeling to final delivery for AI and analytics environments. It requires translating complex business requirements into scalable technical solutions while ensuring data quality and integrity.
Design, develop, and maintain integration solutions using Tibco and Workato to connect various applications and systems. Collaborate with stakeholders to translate business requirements into technical specifications and ensure seamless data flow.
Design, develop, and maintain integration solutions using Tibco and Workato to connect various applications and systems. Collaborate with stakeholders to translate business requirements into technical specifications and ensure seamless data flow.
Lead and support multiple Data Engineering teams to deliver scalable, high-quality data solutions and platforms. Drive technical excellence by establishing engineering best practices, mentoring engineers, and collaborating with clients to align solutions with business goals.
Design and maintain scalable backend architectures using Python while integrating generative AI technologies into client products. Collaborate with stakeholders to gather requirements and ensure high code quality through best practices and documentation.
Design and optimize semantic data models and dashboards in Tableau to support enterprise reporting and self-service analytics. Lead the migration strategy from Looker to Databricks and Tableau while ensuring data governance and performance optimization.
Design and implement automated AWS data pipelines and infrastructure as code for an ML-based demand forecasting system. Manage ML model deployment patterns using SageMaker and establish architecture governance and monitoring.
The Senior Data Architect will lead the development of data systems using the latest technology, aiming to improve data reliability and streamline workflows. They will also mentor newer team members and collaborate with various teams to ensure effective data setup.
