Salomon

Data Platform Engineering Lead

Annecy, France

Actively hiring, first seen by us 13 days ago

Pay: Pay not listed
Work setting: On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment: Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting

What you’ll bring

All qualifications

Core experience

8 to 10 years in data engineering / analytics engineering, including ownership of platform-level architecture, not only pipeline delivery.
Experience with data contracts, data quality and observability frameworks.
Experience in multi-market, multi-source enterprise environments.
Master's or Engineering degree in Computer Science, Data Engineering, Information Systems or an equivalent field (equivalent professional experience accepted).

Qualification wording

8 to 10 years in data engineering / analytics engineering, including ownership of platform-level architecture, not only pipeline delivery.

Experience with data contracts, data quality and observability frameworks.

Experience in multi-market, multi-source enterprise environments.

Master's or Engineering degree in Computer Science, Data Engineering, Information Systems or an equivalent field (equivalent professional experience accepted).

Education & alternatives

- 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.

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Posting record

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Actively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 21, 202613 days ago
Recorded sightings: 32
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 13

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Salomon is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Takes jobs down quickly
50% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

SQL
Azure
dbt
Snowflake
Airflow

Where the posting names them

- 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.

- 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

- 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.

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.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

Company Description

Amer Sports is a sporting goods company with internationally recognized brands including Salomon, Arc’teryx, Peak Performance, Atomic and Wilson.

“The Mountain Sport Company”, Salomon was born in 1947 in the heart of the French Alps and the birthplace of modern alpinism. Salomon’s commitment to innovative design and passion for mountain sports created a vast range of revolutionary new concepts in bindings, boots, skis and apparel for both Alpine and Nordic skiing and brought innovative solutions to footwear, apparel and equipment for snowboarding, adventure racing, mountaineering, hiking, trail running, and many other sports.

Through performance driven design, Salomon delivers innovation and progression to mountain sports; converting new ideas into action and expanding the limits of possibility. Salomon’s heritage, culture, and commitment are tied together by one simple concept: the world’s leading mountain people creating the world’s leading mountain products. Salomon is responsibly committed towards the outdoor through its sustainability program. Diversity is one of Salomon’s five values, therefore we are committed to creating an inclusive environment for all.

Salomon is headquartered in Annecy, France.

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