Brussels, Belgium
Live, first seen by us 27 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Define target-state architectures, principles and technology roadmaps for Data and AI
Design and validate modern data platforms across cloud, hybrid and on-premises
Define architecture patterns for AI/ML and Generative AI, including RAG and LLM orchestration
Establish data standards for modelling, governance, MDM, data quality and metadata
Guide project teams on architecture decisions and run architecture reviews
Define and evolve the enterprise Data & AI architecture vision, including target-state architectures, reference architectures, architecture principles, and technology roadmaps.
Design and validate architectures for modern data platforms, including data lakes, data warehouses, lakehouses, and streaming solutions across cloud, hybrid, and where relevant on-premises environments.
Define scalable and secure architecture patterns for Generative AI and LLM-based solutions, including RAG, enterprise data integration, model access, orchestration, and governance.
Establish and promote standards for data modelling, governance, master data management, data quality, metadata management, and data lifecycle management.
Guide project and engineering teams on architecture decisions, facilitate architecture reviews, and promote alignment with enterprise standards and design principles.
Proven experience designing or governing large-scale data platforms, such as data lakes, data warehouses, lakehouse architectures, or equivalent modern data ecosystems.
Strong understanding of data modelling and architecture approaches, such as dimensional modelling, Data Vault, domain-driven data design, data mesh, or data fabric.
Good understanding of the AI/ML lifecycle, including model development, deployment, monitoring, and MLOps practices.
Familiarity with Generative AI and LLM architectures, including concepts such as Retrieval-Augmented Generation (RAG), vector databases, model orchestration, and LLMOps.
Experience with one or more major cloud Data & AI ecosystems, such as Microsoft Azure, AWS, or Google Cloud, and/or platforms such as Databricks or Snowflake.
Strong understanding of data governance, metadata management, data cataloguing, and data quality.
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- Familiarity with Generative AI and LLM architectures, including concepts such as Retrieval-Augmented Generation (RAG), vector databases, model orchestration, and LLMOps. - Experience with one or more major cloud Data & AI ecosystems, such as Microsoft Azure, AWS, or Google Cloud, and/or platforms such as Databricks or Snowflake. - Strong understanding of data governance, metadata management, data cataloguing, and data quality.
- Microsoft Azure Data or AI certifications - AWS Data or Machine Learning certifications - Google Cloud Data or Machine Learning certifications
- Databricks certifications - Microsoft Azure Data or AI certifications - AWS Data or Machine Learning certifications
- ArchiMate - Databricks certifications - Microsoft Azure Data or AI certifications
- AWS Data or Machine Learning certifications - Google Cloud Data or Machine Learning certifications Equivalent expertise demonstrated through professional experience is equally valued.
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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.
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.
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.
We are looking for an Enterprise Architect specializing in Data & AI to join our architecture team and help shape our enterprise-wide data and AI landscape.
In this role, you will define and evolve the architecture vision for data, analytics, AI, and Generative AI, ensuring that platforms and capabilities are scalable, secure, well-governed, and aligned with business priorities.
You will work at the intersection of business strategy, enterprise architecture, data engineering, and AI/ML, translating strategic objectives into architecture principles, target-state architectures, technology roadmaps, and practical guidance for delivery teams.
Key Responsibilities
Your Experience & Expertise
Certifications
Relevant certifications are considered an advantage, for example:
Equivalent expertise demonstrated through professional experience is equally valued.
What Will Help You Succeed
Our employees are known for making bold choices and delivering results. Work among high-level professionals at the forefront of corporate software solutions and innovation at Europe’s Leading Digital Service Provider.
We offer a generous employee benefits package that includes:
People are the cornerstone of our success. That’s why we aspire to be bold together. Our goal is to provide healthy team environments to build high-functioning teams that inspire and help each other to deliver excellence for our customers.
Excited about this job opportunity? Ready to shape the world with us? Great! We are looking forward to your application!
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Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences.
Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. Successfully so! With more than 51.000 colleagues in 30 countries, we rank as Europe’s leading digital solutions provider. Some of the most successful companies in Europe rely on our technology due to our commitment to innovation, collaboration, and value in business development.
The world is how we shape it. Let’s shape it together.
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Brussels, Belgium
- Data Architecture & Standards: Establish and promote standards for data modelling, governance, master data management, data quality, metadata management, and data lifecycle management. - Data Platforms: Design and validate architectures for modern data platforms, including data lakes, data warehouses, lakehouses, and streaming solutions across cloud, hybrid, and where relevant on-premises environments. - AI & ML Architecture: Define architecture patterns for AI and ML capabilities, including MLOps, model lifecycle management, model monitoring, and integration with enterprise data platforms.
______ Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences. Company Description