Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform that inspires creativity and innovation, and they are seeking a Sr. Staff Software Engineer for their Data Product Platform. In this role, you will provide technical leadership across data warehouse architecture, analytical tools, and data governance, driving solutions that enhance data-driven decision-making and support the company's AI initiatives.
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 (e.g., usability, efficiency, and compliance) 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
Skills
- 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, etc
- Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics and engineering productivity
Benefits
- The position is also eligible for equity.
- Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
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