The Sr. Staff Software Engineer will provide technical leadership across Pinterest's Data Product Platform, focusing on data warehouse architecture, analytical tools, and data governance. This role is critical for managing increasing data volumes and driving solutions that enhance analytical velocity. The engineer will collaborate with various teams to ensure the effective use of data and AI tools. The position emphasizes building a world-class data ecosystem at scale.

• 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 of experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, and DataHub.
• 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.

• Spearhead the definition and design of Pinterest's data warehouse architecture, storage, governance, and usage.
• Set the strategic direction for world-class data analytics tools, including experimentation platforms and data visualization.
• Define, design, and drive the adoption of comprehensive data governance policies and tooling.
• Lead ambiguous, highly challenging, and cross-functional initiatives across the data ecosystem.
• Drive measurable adoption and significant business impact across the entire product portfolio.
• Mentor and elevate the technical bar for engineers, providing leadership on complex technical design.
• Collaborate with stakeholders across Product, Data Science, and Engineering teams to understand user needs.