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Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world.
We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment.
Dare to join Edenred and get ready to thrive in a global company that will offer you endless opportunities.
Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognizes, recruits and develops all talents and singularities.
We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria.
In close collaboration with asset teams, integration engineers, SRE, and product squads, the Data & AI Platform Engineering Lead acts as the technical owner of Edenred’s Data & AI platform foundations.
As a player-coach, the role both designs and builds core platform capabilities (Databricks, Unity Catalog, infrastructure, CI/CD, agent runtime primitives) and coaches teams to use the platform correctly. The role ensures the platform is secure, scalable, observable, interoperable, and AI-ready, while enabling autonomy and reuse across geographies and business lines.
• Own the Data & AI platform roadmap as a product (Databricks, Unity Catalog, infrastructure, shared services)
• Design and implement core platform building blocks (workspaces, catalogs, compute policies, environments)
• Enforce security, access control, and isolation by design
• Ensure the platform supports data, AI, and agentic workloads consistently
• Contribute hands-on to critical platform components and upgrades
• Define and operate the platform-level agent interoperability layer
• Ensure agents can interoperate across runtimes (Databricks agents, Salesforce Agentforce, internal services)
• Treat agent interfaces as first-class platform APIs, versioned and governed
• Partner with SRE to embed observability, reliability, FinOps into platform primitives
• Co-own CI/CD frameworks and guardrails (policy-as-code, quality gates)
• Participate as a standing member of the Design Authority
• Enable discovery, sandboxing, and fast-track experimentation safely
• Prevent platform fragmentation and shadow architectures
• Strong background in platform and software engineering
• Deep expertise with Databricks & Lakehouse architectures (Unity Catalog, security, serverless)
• Solid understanding of data engineering and AI enablement needs
• Working knowledge of agent runtimes, tool/function protocols, and A2A interaction patterns
• Comfortable with cloud infrastructure, IAM, networking, and infrastructure-as-code
• Hands-on engineer able to design, build, and debug core systems
• Coaches teams through patterns, reviews, and enablement rather than control
• Raises engineering standards through example
• Able to influence architecture and usage without hierarchical authority
• Clear communicator with engineers, architects, and leaders
• Pragmatic, anti-dogmatic; standards exist to enable teams
• Comfortable arbitrating trade-offs between simplicity, flexibility, and scale
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