AI Data Architect

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Capgemini’s Global Insights & Data business line is a market leader in data, analytics, and cloud platforms across multiple industries, including financial services, life sciences, consumer products, utilities, and the public sector.

Your Role

As a Data Architect, you will work with leading organizations to design and govern enterprise‑grade data architectures that enable analytics, reporting, operational data products, real‑time processing, and AI‑driven use cases. You will combine strategic architectural ownership with hands‑on collaboration, translating business needs into scalable designs and ensuring alignment across platforms, teams, and standards.

As a key part of your activities, you will act as a trusted technical advisor, translate business and AI‑use cases into scalable architecture designs, review data pipelines and models for alignment with standards, and contribute to documentation, design reviews, and architectural decision‑making forums.

Define and evolve enterprise data architecture including principles, standards, and reference models, ensuring consistent alignment across platforms, teams, and business objectives

Design end‑to‑end data solutions and modern lakehouse architectures that support batch, streaming, real‑time processing, and AI‑driven use cases

Lead event‑driven and real‑time data strategies, while ensuring that architectures are scalable, secure, and compliant with regulatory and governance requirements

Establish and govern standards across data modeling, SQL, metadata, lineage, data quality, and security, while defining approaches for schema evolution, temporal data modeling, incremental processing, and resilient data pipelines

Your profile

Extensive experience with enterprise data platforms, including several years in architecture‑focused roles, designing solutions that support advanced analytics and AI use cases

Strong understanding of modern data platform principles, including lakehouse architecture, event‑driven and streaming patterns, and real‑time processing strategies for analytics and AI applications

Strong proficiency in SQL and data modeling patterns, including Star schema (Kimball), Data Vault, hybrid approaches, and temporal data models (e.g., SCD Type 2), with the ability to design models that support both traditional BI and AI/ML workloads

Solid knowledge of data governance and compliance, covering metadata management, data lineage, quality, and audit requirements to ensure trusted and usable data across platforms

Hands‑on experience with at least one major cloud platform (Microsoft Azure, AWS or Google Cloud Platform) combined with strong communication skills, enabling translation of complex technical concepts into clear architectural guidance for technical and business stakeholders

What we believe you will enjoy about working here

Work on enterprise‑scale, mission‑critical data platforms

Influence data architecture standards across industries

Balance innovation with regulatory and operational excellence

Be a part of a collaborative culture that values innovation, entrepreneurship, and continuous learning

Location

Copenhagen = Kobenhavn

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