Data Platform Engineering Lead

Job Description

As our Data Platform Engineering Lead , you will act as the technical authority for the Salomon Data Platform, setting and enforcing the engineering standards that make it reliable, scalable, cost-efficient and easy to build on.

Own the platform architecture, data models & cost efficiency

• Design and evolve the analytics engineering layer in dbt / Snowflake: modeling standards, layering (staging → core → marts), semantic consistency across domains.
• Define data contracts between producers and consumers and enforce them technically, working closely with Enterprise & Data Architects and Data Governance.
• Own platform FinOps: monitor and optimize Snowflake and Azure consumption, making cost a first-class design criterion.

Set the engineering standard

• Establish and champion best practices: testing, CI/CD for data, code review, version control, observability.
• Own data quality and reliability by design (testing frameworks, freshness and anomaly monitoring, lineage) to keep incidents to a minimum.
• Act as technical reviewer and quality bar for the team's most critical work.

Build the self-service foundation

• Provide the modeled, tested and documented data foundations the semantic / metrics layer is built on, in close alignment with the AI Lead.
• Make the platform something teams can build on without asking permission: clear interfaces, documented primitives, sensible defaults.

Scale the team

• Mentor Data Engineers and Analytics Engineers, raising the technical ceiling of the whole group.
• Lead architecture decisions and technical design reviews, documenting the rationale.
• Partner with the AI / ML Lead so the platform exposes the feature and semantic surfaces their models need.

Connect & anticipate

• Contribute to delivery planning (PI Planning, sprint reviews) and anticipate platform implications of upcoming builds.
• Act as the technical interface to IT and infrastructure stakeholders (SAL IT, Group EDA) on integration and data architecture.
• Bring ideas, flag risks early, and help others deliver better.

Qualifications

You are a strong match for this role if you bring:

• 8 to 10 years in data engineering / analytics engineering, including ownership of platform-level architecture, not only pipeline delivery.
• Deep, hands-on mastery of the modern data stack: Snowflake, dbt, Airflow, Azure.
• Advanced SQL and solid software-engineering fundamentals (testing, CI/CD, modularity, versioning), including medallion architecture.
• Experience with data contracts, data quality and observability frameworks.
• Cloud and data platform cost management (FinOps).
• Experience in multi-market, multi-source enterprise environments.
• Hands-on use of AI tools to accelerate engineering work.
• A proven track record of setting engineering standards a team actually adopts, with mentoring experience.
• Master's or Engineering degree in Computer Science, Data Engineering, Information Systems or an equivalent field (equivalent professional experience accepted).
• Fluent English.

Additional Information

• Location: Annecy
• Contract: CDI
• Team: manages 1 internal Data Engineer, with functional oversight of ~5-7 external delivery partner resources

🚀 Ready to become the technical backbone of Salomon's Data Platform and help teams build with confidence? Apply now and join the adventure.