Enterprise Architect (Data & AI)

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

• Vision & Roadmap: Define and evolve the enterprise Data & AI architecture vision including target-state architectures reference architectures architecture principles and technology roadmaps.
• 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.
• Generative AI: Define scalable and secure architecture patterns for Generative AI and LLM-based solutions including RAG enterprise data integration model access orchestration and governance.
• Business Alignment: Partner with business and technology stakeholders to translate strategic objectives and use cases into Data & AI capabilities and architecture roadmaps.
• Architecture Governance: Guide project and engineering teams on architecture decisions facilitate architecture reviews and promote alignment with enterprise standards and design principles.
• Technology Evaluation: Assess technologies platforms and vendors across cloud data analytics AI and machine learning balancing business value technical fit security cost and long-term sustainability.
• Data & AI Governance: Ensure that privacy security responsible AI and applicable regulatory requirements are considered throughout architecture and design decisions.
• Responsible AI: Help define architecture guardrails around model risk transparency explainability monitoring and responsible use of AI.
• Technical Leadership: Act as a trusted architecture advisor to data engineering analytics AI and data science teams sharing best practices and supporting complex architecture decisions.
• Enterprise Collaboration: Work closely with fellow enterprise architects across applications infrastructure security integration and cloud to ensure architectural coherence.
• Innovation & Technology Watch: Stay informed about developments in data platforms AI/ML and Generative AI and assess where emerging technologies can create meaningful value for the organisation.

Qualifications :

Your Experience & Expertise

• Extensive experience in data architecture solution architecture enterprise architecture or comparable technical leadership roles with strong exposure to Data & AI.
• 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.
• Familiarity with enterprise architecture frameworks and modelling approaches such as TOGAF Zachman or ArchiMate.
• Understanding of security privacy and regulatory considerations for Data & AI including areas such as GDPR and the EU AI Act.
• Strong communication and stakeholder management skills with the ability to engage effectively with both technical teams and senior business stakeholders.

Certifications

Relevant certifications are considered an advantage for example:

• TOGAF
• 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.

What Will Help You Succeed

• You can translate business strategy into clear Data & AI architecture choices and roadmaps.
• You are able to move comfortably between strategic architecture discussions and more detailed technical conversations with engineering and AI teams.
• You build alignment across business architecture security data and technology stakeholders.
• You take a pragmatic approach to architecture balancing long-term direction with delivery realities.
• You can provide direction in a rapidly evolving technology landscape and distinguish meaningful innovation from short-lived trends.
• You communicate complex Data & AI concepts clearly to both technical and non-technical audiences.

Additional Information :

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 Europes Leading Digital Service Provider.  

We offer a generous employee benefits package that includes: 

• A competitive salary and an indefinite contract
• A company car or mobility budget
• Comprehensive insurance coverage (hospitalisation outpatient care and group insurance)
• 32 days paid time off (20 days 12 bonus days)
• Laptop phone and mobile subscription
• Continuous learning opportunities through the Sopra Steria Academy to support your career development

People are the cornerstone of our success. Thats 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! 

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.

Remote Work :

No

Employment Type :

Full-time