Description
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