Data Architect + AI
Design and implement end-to-end data architectures using the Databricks Lakehouse platform and modern cloud infrastructure. Manage data governance, performance tuning, and the deployment of AI and machine learning models.
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Design and implement end-to-end data architectures using the Databricks Lakehouse platform and modern cloud infrastructure. Manage data governance, performance tuning, and the deployment of AI and machine learning models.
The Principal Data Architect is responsible for defining the data architecture, strategy, and reference designs across a multivendor, multicloud environment. They will establish data governance, quality standards, and enable AI and analytics capabilities through robust data infrastructure.
The Azure Data Architect leads the end-to-end design of cloud data warehouses, data lakes, and data pipelines. This role connects business goals with technical execution to ensure data systems are secure, performant, and cost-effective.
Lead the design and implementation of a cloud data lakehouse architecture to integrate marine and anadromous species data into a unified federal platform. Oversee ETL pipeline development, schema harmonization, and the establishment of data quality and metadata standards.
The Principal GCP Data Architect will lead the design and implementation of large-scale data ecosystems and define the long-term roadmap for enterprise data platforms. They will oversee complex cloud migrations, enforce data governance and security frameworks, and mentor cross-functional engineering teams.
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The Senior Data Architect will lead the migration of data pipelines to Microsoft Fabric and define the long-term data architecture strategy. They will also provide technical guidance to teams and ensure data systems are scalable, secure, and aligned with business goals.
Define and communicate the long-term data architecture vision while leading the migration of data pipelines to Microsoft Fabric. Collaborate with leadership and development teams to design scalable, secure data systems and establish best practices for data management.
You will lead the design and evolution of scalable, cloud-native data architectures on AWS while establishing engineering best practices. Additionally, you will provide technical leadership to engineering teams and collaborate with stakeholders to translate business requirements into robust data solutions.
The Sr Director will define the enterprise architecture and roadmap for the Advertiser Intelligence Platform to drive revenue and operational efficiency. They will lead the design of golden advertiser profiles, AI-enriched intelligence, and data governance frameworks while partnering with cross-functional teams to deliver scalable solutions.
The Data Architect Lead is responsible for the end-to-end data strategy, including data modeling, migration planning, and the integration of AI/ML-driven analytics. They will lead the migration of legacy supply chain data to modernized systems while ensuring compliance with security and privacy standards.
Design and optimize scalable enterprise data architectures and BI solutions to transform raw data into reliable, accessible information. Collaborate with cross-functional teams to implement data pipelines, dimensional models, and reporting dashboards while ensuring data security and governance.
The Consulting Data Architect designs and delivers innovative Microsoft Fabric and AI-enabled solutions while providing technical expertise to meet client requirements. This role also leads project teams, manages client relationships as a trusted advisor, and supports the development of business cases and proposals.
The Senior Data Architect designs and maintains a centralized data foundation to enable trusted analytics, reporting, and AI solutions. This role transforms complex source data into scalable, business-friendly datasets while establishing governance and semantic standards across the enterprise.
The Specialist Solutions Architect will act as a subject matter expert on Stripe's data products to drive pipeline and revenue targets while influencing the product roadmap. They will collaborate with sales teams to architect complex data solutions for enterprise customers and serve as a technical escalation point.
The Enterprise Data Architect will lead the design and evolution of enterprise data architecture, defining scalable patterns for data ingestion, integration, and governance. They will provide technical leadership across Azure cloud services, data engineering, and security teams to support mission-critical VA programs.
The Practice Architect leads complex, first-of-kind data security deployments and develops technical practice content including reference architectures and playbooks. They also partner with enablement teams to train consultants and serve as the technical authority for the data security portfolio.
Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform. Collaborate with customers to translate business goals into robust architectural blueprints while mentoring engineering teams.
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Design and implement enterprise-scale data architecture frameworks and standards to ensure data integrity and security. Lead data hardening initiatives and collaborate with cross-functional teams to align architecture with business requirements.
Lead customer data strategy and modernization roadmaps using SAP BDC to transition from legacy systems to unified, AI-ready platforms. Serve as a strategic advisor to executives and IT stakeholders while designing scalable data architectures that support advanced analytics and business AI.
The Data Architect will assess legacy on-premises infrastructure and design a cloud-native architecture to modernize the AccuWeather For Business platform. They will own the technical direction, develop sequencing plans, and collaborate with engineering teams to implement scalable and resilient data solutions.
The Data Architect will design and evolve data architecture for strategic projects. They will participate in transformation initiatives and the modernization of high-impact analytical platforms.
Lead the architecture and operation of the company's AI platform, focusing on the implementation and scaling of Databricks Mosaic AI. Ensure a robust and governed environment for data science and machine learning teams to build and deploy generative AI applications.
You will lead the end-to-end technical design and implementation of Salesforce Data 360 and Agentforce solutions to drive intelligent, AI-powered customer experiences. This involves architecting scalable data models, defining integration frameworks, and overseeing the project lifecycle from design through deployment.
You will lead data transformation initiatives by designing system architectures and collaborating with customers to implement Guidewire Data Platform solutions. You will also mentor offshore teams, optimize migration processes, and leverage AI to enhance data loading and analytics performance.
The Agentic Data Architect designs and manages end-to-end data architectures to support agentic workloads, including retrieval-augmented generation and memory systems. They also establish data quality, governance, and lineage standards while collaborating with stakeholders to translate business requirements into technical architecture.
The Data Architect will lead the design, governance, and execution of enterprise data migration solutions and system transformations. They are responsible for coordinating data analysis, defining migration strategies, and providing technical leadership to multidisciplinary teams.
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Lead data architecture transformations and migrations to modern cloud solutions while designing scalable ETL/ELT pipelines. Manage end-to-end data projects and provide technical guidance to cross-functional teams to ensure alignment with client goals.
The Data Architect will define and lead the enterprise data architecture to unify reporting platforms and analytics across multiple SaaS products. This role involves designing scalable data models, establishing governance practices, and creating a phased migration strategy to separate analytical workloads from transactional systems.
Lead as a technical evangelist and trusted advisor to shape and design Data & AI solutions on the Microsoft platform. Partner with sales teams to drive opportunity qualification, technical discovery, and deal closure for enterprise clients.
Define and drive the Data and AI platform architecture using Databricks and modern lakehouse design patterns. Architect secure LLM and GenAI enablement patterns while designing agentic AI capabilities for data platform operations.
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