Related skills
airflow spark flink superset datahub📋 Description
- Lead data warehouse architecture, storage, governance, and usage.
- Set strategic direction for analytics tools: experimentation, ad hoc analysis, visuals, pipelines, and AI analytics.
- Define and drive data governance policies and tooling for data quality and compliance.
- Lead cross-functional initiatives across the data ecosystem, balancing usability, efficiency, and compliance.
- Drive adoption and impact across the product portfolio via platform and tooling.
- Mentor engineers and guide complex technical design and trade-offs.
🎯 Requirements
- Bachelor’s degree in CS, Engineering, or related field, or equivalent experience.
- 12+ years building data warehouses and data platforms at scale.
- 5+ years building data warehouses/tools with Spark, Trino, Flink, Airflow.
- Ability to work with cross-functional partners across multiple organizations.
- Hands-on experience building AI-enabled data tooling with AI coding tools (Cursor, Claude Code, Codex).
- Hands-on experience building AI tools and platforms to accelerate data pipelines and analytics.
🎁 Benefits
- Equity eligibility for this role.
- PinFlex: flexible work model.
- In-office collaboration 1-2 times per quarter.
- Inclusive culture; Pinterest is an equal opportunity employer.
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