Data Architect

Today's architecture choices decide what AI will be able to do tomorrow. At Diametral, the Data Architect designs the data and AI architectures of large groups: platforms able to serve analytics, machine learning and generative AI at scale, without letting costs or complexity spiral.

You join the Architecture & Engineering engine and work on structuring decisions, alongside CIOs, CDOs and data leadership.

What you will build

• Target data and AI architectures: lakehouse, data mesh, hybrid and multi-cloud architectures, GenAI foundations.
• Modernization roadmaps: exit from legacy platforms, SAP and ERP migration to the cloud, tool rationalization.
• Formal, well-argued architecture assessments, with cost, performance, security and sovereignty trade-offs.
• The standards and reference architectures that guide delivery teams.
• Governance built into architecture: catalog, security, data contracts, FinOps.
• Architecture documents that convince decision committees.

Your tech stack

Azure, GCP, AWS; Databricks, Snowflake, Fabric, BigQuery; Kafka; catalog and governance tools; C4, TOGAF or ATAM methods; RAG and agent architectures.

Within Diametral

• You are one of the group's technical leaders and help teams grow their skills.
• You contribute to our strategy and architecture offers.

What you bring

• An engineering degree or a master's in computer science.
• At least 8 years of experience in data, including several years as an architect on large-scale programs.
• In-depth command of at least one public cloud and one modern data platform.
• A clear vision of architectures for AI and generative AI.
• Fluent English in a client context, plus the language of your home office.

What will make the difference

• Cloud architect or TOGAF certifications.
• Experience with large SAP environments or complex migrations.
• Experience as a technical or design authority.

Your mindset

• Big-picture vision and attention to the details that matter.
• The ability to defend a choice in front of executive management.
• Independent judgment toward vendors.

What we expect from all our talent

• An obsession with business impact: you quickly understand our clients' business, and you know how to challenge it.
• A strong sense of service and client experience.
• Top-level communication, written and spoken: you simplify, you bring people along.
• Advanced mastery of AI and automation tools: you can show us an agent or a prototype you built yourself.
• Ambition and rigor, serving a team that puts the collective before the individual.

• Interview with the Talent Acquisition team and/or a Business Manager
• Technical interview with an engine expert
• Interview with the Managing Director or the Engine Director