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About the Role

The Data Platform and Data Enrichment teams are responsible for making our unified database accessible, usable, enrichable, and reliable for all internal teams. This role is key to our Tech & Product strategy, supporting company-wide objectives in customer retention, data trust, and AI-based insights.

Responsibilities

• Design and build data pipelines (batch and near-real-time) using PySpark and Databricks, across the Bronze/Silver/Gold medallion layers
• Architect efficient Delta Lake table schemas, including partitioning/liquid clustering strategy, schema evolution handling, and enrichment workflows
• Collaborate with product, QA, and other data engineers to translate enrichment and search requirements into reliable pipelines
• Own code quality through structured PySpark jobs, unit tests (pytest), and adherence to team conventions
• Continuously improve pipeline reliability and cost efficiency
• Participate in cross-pod initiatives across the data platform

Requirements

• Engineer Degree or Master Degree in Computer Science and 3+ years of relevant work experience in full-stack development in a SaaS environment
• Strong Python and PySpark experience; comfort with distributed data processing at scale
• Experience with a Lakehouse architecture (Databricks, Delta Lake, or comparable)
• Familiarity with medallion architecture patterns (Bronze/Silver/Gold) or similar layered data design
• Ability to reason about schema evolution, partitioning/clustering strategy, and pipeline reliability
• Ability to traverse logical sequences of either procedural or object-oriented code and understand it entirely
• Bright, energetic, highly motivated self-starter with experience in a fast-paced, results-oriented organization
• Ability to adapt, estimate workload, break down tasks, solve problems, self-improve, and suggest new ways of improvement
• Fluent in English (speak, read, and write)

Skills

• Python
• PySpark
• Typescript
• Databricks
• Delta Lake
• Delta Sharing
• AWS S3
• MySQL
• AWS (S3, Kinesis, Lambda, SQS, ECS, Step Functions)
• Jira
• Databricks Asset Bundles
• Serverless
• Claude Code
• Git
• GitHub
• GitHub Actions
• pytest
• Jest

Location

• NYC
• Paris
• Worldwide

Work Type

• Remote-friendly
• Flexible working arrangements

Experience Level

• 3+ years of relevant work experience

Education Level

• Engineer Degree or Master Degree in Computer Science

Benefits

• Learning and development allowance
• Benefits package tailored to your location
• Flexible working arrangements with support to set up your home office
• Room to grow along whichever path fits you

About the Company

• Launchmetrics is the leading Brand Performance Cloud used by Fashion, Lifestyle, and Beauty (FLB) executives to make smarter decisions around their branding efforts.
• Founded in NYC with operating headquarters in Paris, Launchmetrics has employees in ten markets worldwide and offers support in five languages.
• Trusted brand performance technology for brands like Dior, Fendi, Shiseido, NET-A-PORTER, and Adidas, as well as industry partners like IMG, CFDA, British Fashion Council, and Camera Nazionale Della Moda Italiana.
• The Tech & Product teams operate in a pod model, where small groups own a mission end-to-end, fostering ownership and innovation.

Equal Opportunity

• Launchmetrics is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce.
• If there is anything extra we can do to help you feel at ease during your interview process, please let the PeopleOps team member you’ll be meeting with know.