About the company
Pinterest is a platform where millions of people find creative ideas. The Data Product Platform is mission-critical to accelerating data-driven decision-making, built on hundreds of thousands of tables and an exadata-scale data warehouse. The team invests in data warehouse, analytical velocity, and data governance.
Responsibilities
- Spearhead the definition and design of Pinterest's data warehouse architecture, storage, governance, and usage.
- Set strategic direction for world-class data analytics tools, including experimentation platforms, ad hoc analysis, data visualization, data pipeline authoring, and AI-assisted analytics.
- Define, design, and drive adoption of comprehensive data governance policies and tooling.
- Lead ambiguous, cross-functional initiatives across the data ecosystem, managing trade-offs among usability, efficiency, and compliance.
- Drive measurable adoption and business impact across the product portfolio.
- Mentor and elevate the technical bar for engineers.
- Collaborate with stakeholders across Product, Data Science, and Engineering.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
- 12+ years of relevant industry experience with large-scale data warehouses, data tools, and platforms.
- 5+ years building data warehouses and tools with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub.
- Ability to work with cross-functional partners.
- Hands-on experience building tools and data pipelines leveraging AI coding tools (Cursor, Claude Code, Codex).
- Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, analytics, and engineering productivity.