Lead the end-to-end delivery of complex data platform and cloud transformation programs while managing multidisciplinary teams and stakeholder alignment. Responsible for program health, including financial tracking, risk mitigation, and establishing robust governance frameworks.
Valtech
48 Remote Job Openings at Valtech
The role involves designing, deploying, and optimizing MongoDB Atlas and on-premise environments within a cloud-based ecosystem. Key duties include implementing infrastructure-as-code, managing observability, and leading incident response for database platforms.
The role involves designing, deploying, and optimizing MongoDB Atlas and on-premise environments within a cloud-based enterprise ecosystem. It focuses on ensuring high availability, scalability, and security through automation and SRE principles.
Lead the redesign of AI integration within client businesses by embedding in senior pods to build outcome-driven experiences. You will own the workflow, KPIs, and technical alignment while ensuring a clean transfer of ownership to the client's domain experts.
Lead the redesign of AI integration within client businesses by embedding in senior pods to build outcome-driven experiences. You will own the workflow, KPIs, and technical alignment while ensuring a clean transfer of ownership to the client.
Lead the definition and implementation of PXM strategies and PIM solutions for clients while driving the growth of Valtech's PXM practice. Manage complex integrations across PIM, DAM, and eCommerce systems while mentoring consultants and supporting the sales cycle.
Partner with technical consultants to translate business needs into data models and lead cross-functional workshops. Produce key deliverables including process maps, business requirements, user stories, and decision logs.
The Product Owner is responsible for owning the product roadmap and defining backlog items such as epics and user stories to guide Agile development teams. They act as the primary contact for stakeholders to align product goals with strategic business objectives.
Lead the architecture, design, and technical governance of enterprise digital experience platforms built on Liferay DXP. Define end-to-end solution architecture and integration strategies while providing technical leadership to delivery teams.
Lead the delivery of CMS Platform experiences by managing scope, budget, and timelines while facilitating Agile ceremonies. Partner with product owners and cross-functional teams to translate business requirements into technical solutions and roadmaps.
Partner with technical consultants to translate business needs into data models and produce deliverables like process maps and user stories. Facilitate cross-functional workshops to align multi-disciplinary teams on business definitions and requirements.
Partner with technical consultants to translate business needs into data models and produce deliverables like process maps and user stories. Lead cross-functional workshops to align multi-disciplinary teams on business definitions and requirements.
Acts as a liaison between business stakeholders and technical teams to define and analyze technical requirements for AEM implementations. Responsible for managing the product backlog, documenting system dependencies, and ensuring a smooth transition from project development to support.
Design and implement scalable cloud-based data platforms and pipelines to support analytics, AI, and GenAI applications. Collaborate with cross-functional teams to ensure robust data governance, observability, and production-grade data foundations.
Drive advanced analytics and AI-powered decision intelligence by building production-grade systems that combine predictive, causal, and generative AI. Collaborate with cross-functional teams to integrate these models into scalable APIs and real-time decision-making pipelines.
Define the long-term technical vision and architecture for the marketing stack, focusing on Marketo migration and data automation. Design and maintain data pipelines and event management capabilities to drive business growth through CRM and data warehouse integrations.
Develop and execute a global SEO content strategy to drive organic performance and brand visibility across key verticals. Collaborate with regional teams and subject matter experts to create high-ranking, high-quality content while monitoring performance metrics.
Develop custom marketing solutions and dynamic assets such as emails and landing pages using various programming languages. Implement integrations via FTP and APIs while staying updated on Salesforce Marketing Cloud releases.
Lead digital-first media strategy and execution across paid search, social, and programmatic channels for complex client engagements. Bridge the gap between strategy and activation by managing budgets, optimizing campaigns, and providing data-driven insights to clients.
Drive advanced analytics, causal reasoning, and AI-powered decision intelligence to build production-grade systems. Develop and deploy ML models for forecasting, optimization, and generative AI workflows to influence business outcomes.
Drive advanced analytics and AI-powered decision intelligence by building production-grade systems that combine predictive, causal, and generative AI. Collaborate with cross-functional teams to integrate these models into scalable APIs and real-time decision-making pipelines.
Drive advanced analytics and AI-powered decision intelligence by building production-grade systems that combine predictive, causal, and generative AI. Collaborate with cross-functional teams to integrate these models into scalable APIs and real-time decision-making pipelines.
The candidate will be responsible for designing and maintaining data pipelines as a Senior Data Engineer. They will ensure the efficient flow and processing of data across the organization.
Design and implement scalable cloud-based data platforms and pipelines to power analytics, AI, and GenAI systems. Collaborate with cross-functional teams to ensure data governance, observability, and the delivery of production-grade data products.
Design and implement scalable cloud-based data platforms and pipelines to power analytics, AI, and GenAI applications. Collaborate with cross-functional teams to ensure data governance, observability, and the delivery of production-grade datasets.
The consultant will refactor, optimize, and automate data workflows and reporting. This work will be performed using cloud-based platforms to improve analytics.
The consultant will create technical solution designs and perform both declarative and programmatic development on the Salesforce platform. They will act as a bridge between developers and clients, providing estimations and peer reviews within a scrum team.
Lead the end-to-end sourcing cycle for Professional Services and Consulting, including supplier identification, negotiation, and contract execution. Drive the transformation of the Supplier Management department into a formal procurement function by establishing best-in-class practices and category structures.
The consultant will create technical solution designs and perform both declarative and programmatic development on the Salesforce platform. They will act as a bridge between developers and clients, working within a scrum team to implement CRM and e-commerce systems.
Design, build, and maintain scalable data pipelines and complex SQL queries to support analytics and reporting. Partner with stakeholders to translate business needs into data solutions and deliver datasets for dashboards.
Design, build, and maintain scalable data pipelines and complex SQL queries to support analytics and reporting. Collaborate with stakeholders and cross-functional teams to translate business needs into data solutions and insights.
Embed with enterprise customers to architect, code, and deploy production-grade agentic AI solutions on Google Cloud. Lead technical discovery and implement RAG pipelines and multi-agent systems to solve complex business problems.
IngΓ©nieur(e) Forward Deployed, Google Cloud, expert(e) en IA
Valtech
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Full Time
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a month ago
Valtech
Lead the design, development, and deployment of production-ready agentic AI solutions and RAG pipelines on Google Cloud for enterprise clients. Collaborate directly with client engineering teams to implement best practices and transition AI pilots into measurable business value.
Support project managers by analyzing data, tracking budgets, and managing resource forecasting. Act as a link between departments to ensure smooth processes and deliver accurate customer reports.
The role involves gathering and documenting business and data requirements to support the development of enterprise-level data products. You will collaborate with technical teams and stakeholders to ensure alignment between business objectives and technical data solutions.
The role involves gathering and translating business needs into technical data requirements to support enterprise-level data products. You will collaborate with architects and engineers to ensure data quality, lineage, and alignment with business objectives.
Design and maintain scalable data engineering frameworks and platform utilities to standardize delivery across engineering teams. Lead the development of core data transformation frameworks and integrate AI-assisted tools to improve developer productivity.
Design and maintain scalable data engineering frameworks and platform utilities to standardize delivery across engineering teams. Lead the development of core data transformation frameworks and integrate AI-assisted development tools into workflows.
Lead digital-first media strategy and execution across paid search, social, and programmatic channels for complex client engagements. Bridge the gap between strategy and activation by managing budgets, optimizing performance, and collaborating with cross-functional creative and analytics teams.
Manage the scope, budgets, and timelines of large-scale e-commerce software development projects while coordinating cross-functional global teams. Act as the primary point of contact for client communications and conduct performance evaluations for project team members.
Develop and configure complex Salesforce Marketing Cloud components and customer journeys for enterprise-grade digital transformation projects. Integrate SFMC with CDPs and other platforms while ensuring technical excellence and data consistency.
The Revenue Operations Manager will design and operate an AI-powered system to capture, route, and convert leads into the sales pipeline. They will act as a liaison between AI systems and sales teams to ensure automated workflows enhance commercial efficiency and scalability.
The Revenue Operations Manager will design and optimize AI-driven lead routing and follow-up systems to scale the go-to-market engine. They will act as a bridge between AI tools and human sales teams to ensure efficient lead conversion and partner enablement.
The Senior Talent Development Analyst will design and implement programs to support employee growth, career progression, and competency development. They will partner with business stakeholders to align talent strategies with business objectives and measure the impact of learning initiatives.
The Platform Database Engineer is responsible for designing, deploying, and optimizing MongoDB environments within a large-scale cloud ecosystem. They will lead incident response, implement infrastructure-as-code solutions, and ensure high availability and security across data platforms.
The Platform Database Engineer will design, deploy, and optimize MongoDB environments within a cloud-based enterprise ecosystem. They will also lead incident response, implement infrastructure-as-code solutions, and collaborate with cross-functional teams to ensure system reliability and performance.
The specialist designs and delivers programs supporting employee growth, career progression, and capability development, focusing on aligning talent strategies with business objectives. This involves partnering with stakeholders to identify needs, implement scalable solutions, and measure the impact of learning initiatives.
The role involves leading and facilitating discovery phases using various research methods and stakeholder engagement to uncover user needs and business challenges. Responsibilities also include mentoring other designers and advocating for human-centered design principles throughout the project lifecycle.