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Senior Data & AI Architect
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDefine target-state data and AI architecture, principles, standards and roadmaps
Lead enterprise data architecture and governance, including quality, security and lineage
Design scalable data, analytics and integration platforms, APIs and event-driven pipelines
Lead architecture for AI/ML, GenAI, RAG and agentic AI solutions on governed data
Lead architecture assessments and advise senior stakeholders on investment decisions
From the employer’s posting
Define and evolve enterprise data and AI architecture aligned with organisational strategy
Lead enterprise data architecture and governance, ensuring effective data modelling, ownership, quality, security, privacy, metadata, lineage and compliance
Design scalable data, analytics and integration platforms, including data products, APIs, ingestion pipelines and event-driven architectures
Lead architecture for AI/ML, Generative AI, Retrieval-Augmented Generation (RAG) and Agentic AI solutions
Lead architecture assessments, discovery engagements and strategic advisory activities
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20262 days ago
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Capgemini Service SAS is hiring
293 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
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- AWS
- Azure
- Databricks
- Snowflake
- GCP
Where the posting names them
- Deep expertise in data management disciplines including data modelling, governance, metadata management, lineage, data quality and enterprise data standards. - Strong understanding of data integration, APIs, modern analytical architectures, and cloud or hybrid data platforms, with experience across technologies such as Azure, Fabric, Purview, AI Foundry, Databricks, Snowflake, AWS and Google Cloud. - Practical experience designing AI, ML and Generative AI solutions, including LLMs, RAG, AI agents and enterprise AI integration, while applying Responsible AI principles by design.
Your next step
Complete your application on careers.capgemini.com. The employer’s form will show what is required.
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About Capgemini Service SAS
- People
- About 11,267 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as CAP.PA.
- H-1B visas
- 771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we’ll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture , and our focus on continuous learning, we’ll provide everything you need to do your best work and become the best you can be.
YOUR ROLE
We are looking for a Senior Data & AI Architect to help shape enterprise data and AI architecture for complex client environments. You will combine strategic data architecture, governance and modern cloud platforms with practical AI, Generative AI and Agentic AI expertise. Working with senior stakeholders and multidisciplinary delivery teams, you will turn organisational priorities into secure, governed and implementable solutions.
Key Responsibilities of the role:
- Define and evolve enterprise data and AI architecture aligned with organisational strategy, business priorities and transformation objectives, including target-state architectures, principles, standards and technology roadmaps.
- Lead enterprise data architecture and governance, ensuring effective data modelling, ownership, quality, security, privacy, metadata, lineage and compliance across the organisation.
- Design scalable data, analytics and integration platforms, including data products, APIs, ingestion pipelines and event-driven architectures that support business and operational outcomes.
- Lead architecture for AI/ML, Generative AI, Retrieval-Augmented Generation (RAG) and Agentic AI solutions, ensuring they are built on trusted, governed and secure enterprise data.
- Translate business requirements into secure, scalable and commercially viable architectures, balancing cost, risk, performance, maintainability and long-term value while evaluating emerging technologies and innovation opportunities.
- Lead architecture assessments, discovery engagements and strategic advisory activities, providing architecture assurance and guiding investment decisions that support long-term transformation objectives.
- Act as a trusted adviser to senior stakeholders, providing technical leadership, mentoring architects and practitioners, and embedding Responsible AI, security, governance and best practices across delivery teams.
YOUR PROFILE
- Significant experience defining enterprise data architectures, target states, roadmaps and architecture assurance approaches within large-scale transformation programmes.
- Deep expertise in data management disciplines including data modelling, governance, metadata management, lineage, data quality and enterprise data standards.
- Strong understanding of data integration, APIs, modern analytical architectures, and cloud or hybrid data platforms, with experience across technologies such as Azure, Fabric, Purview, AI Foundry, Databricks, Snowflake, AWS and Google Cloud.
- Practical experience designing AI, ML and Generative AI solutions, including LLMs, RAG, AI agents and enterprise AI integration, while applying Responsible AI principles by design.
- Ability to translate business and operational challenges into scalable data and technology solutions, supported by strong consulting, technical leadership and stakeholder management skills.
- Strong knowledge of security, privacy and regulatory compliance requirements, including the application of recognised standards such as ISO/IEC 27001, ISO/IEC 27701 and ISO/IEC 42001; relevant architecture, cloud, data or AI certifications are advantageous.
WHAT YOU'LL LOVE ABOUT WORKING HERE?
- Craft your own career path through continuous learning and personal growth
- Our commitment to maintain high ethical standards ensuring Diversity, Sustainability and Inclusion in our business practises
- Be a part of our professional communities role framework which promotes professional growth, career development and enhances Sogeti’s capabilities across different domains
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dublin, IE
- Deep expertise in data management disciplines including data modelling, governance, metadata management, lineage, data quality and enterprise data standards. - Strong understanding of data integration, APIs, modern analytical architectures, and cloud or hybrid data platforms, with experience across technologies such as Azure, Fabric, Purview, AI Foundry, Databricks, Snowflake, AWS and Google Cloud. - Practical experience designing AI, ML and Generative AI solutions, including LLMs, RAG, AI agents and enterprise AI integration, while applying Responsible AI principles by design.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.