Sr. Staff Software Engineer, Data Product Platform

We are seeking a Sr. Staff Software Engineer to provide technical leadership and direction across the Data Product Platform at Pinterest. The Data Product Platform is mission-critical to accelerating data-driven decision-making at Pinterest, which is built on the foundation of hundreds of thousands of tables and an exadata-scale data warehouse.

The successful candidate will spearhead the definition and design of Pinterest's data warehouse architecture, storage, governance, and usage. They will set the strategic direction for world-class data analytics tools, define and drive the adoption of comprehensive data governance policies and tooling, and lead ambiguous, highly challenging, and cross-functional initiatives across the data ecosystem.

Responsibilities:

• 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, ad hoc analysis systems, data visualization, data pipeline authoring, and AI-assisted data analytics capabilities.
• Define, design, and drive the 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, expertly managing trade-offs among unique requirements and constraints to deliver a cohesive user experience.
• Drive measurable adoption and significant business impact across the entire 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-off decisions.
• Collaborate with stakeholders across Product, Data Science, and Engineering teams to understand user needs, drive alignment, and drive progress.

Requirements:

• 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, 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, etc.
• Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics, and engineering productivity.

Benefits:

• Salary range: $208,592-$429,454 USD
• Equity eligibility
• Flexible working model (PinFlex)
• Opportunity to work in-office 1-2 times/quarter