Sr. Staff Software Engineer, Data Product Platform

About the Role

The Data Product Platform is mission-critical to accelerating data-driven decision-making at Pinterest on the foundation of hundreds of thousands of tables and an exadata-scale data warehouse. We achieve this by investing in three core areas:

• Data Warehouse: Building and managing foundational data warehouses that enable key analyses across core engagement and monetization products.
• Analytical Velocity: Creating analytical tools that empower internal data users to leverage data assets and infrastructure effectively.
• Data Governance: Defining and implementing data governance policies and tools necessary to ensure responsible, efficient, and compliant storage and handling of all data.

We are seeking a Sr. Staff Software Engineer to provide technical leadership and direction across these three pillars, architecting and driving solutions that handle increasing data volume, navigate business complexity, and build the foundation for our next generation of AI analytics products.

What You'll Do

• Spearhead the definition and design of Pinterest's data warehouse architecture, storage, governance, and usage.
• Set strategic direction for data analytics tools, including experimentation platforms, ad hoc analysis systems, data visualization, data pipeline authoring, and AI-assisted data analytics capabilities.
• Define, design, and drive adoption of comprehensive data governance policies and tooling to ensure data quality, promote responsible data handling, and maximize efficiency.
• Lead ambiguous, highly challenging, and cross-functional initiatives across the data ecosystem, managing trade-offs among usability, efficiency, and compliance.
• Drive measurable adoption and significant business impact across the product portfolio through platform and tooling initiatives.
• Mentor and elevate the technical bar for engineers, providing leadership on complex technical design, execution strategies, and critical trade-offs.
• Collaborate with stakeholders across Product, Data Science, and Engineering teams to understand needs and drive alignment.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 12+ years of relevant industry experience with large scale data warehouses, data tools, and platforms.
• 5+ years experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, etc.
• Ability to work with cross-functional partners across multiple organizations.
• Hands-on experience building tools and data pipelines leveraging AI coding tools (e.g., Cursor, Claude Code, Codex).
• Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics, and engineering productivity.

Additional Details

• Travel & In-Office Requirement: This role can be situated anywhere in the US, but requires being in the office for in-person collaboration 1–2 times per quarter.