Senior Staff Software Engineer (Data Product Platform)
Posted Updated
Description
- We are seeking a Sr. Staff Software Engineer to provide technical leadership and direction across these three pillars. In this role, you will be instrumental in architecting and driving solutions that handle increasing data volume, navigate business complexity, accelerate analytical velocity, and build the foundation for our next generation of AI analytics products. If you are passionate about building world-class data ecosystems at massive scale, we invite you to lead our efforts
- 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
- 12+ years of relevant industry experience with large scale data warehouses, data tools and platforms
- Ability to work with cross-functional partners across multiple organizations
- 5+ years experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, etc
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
- Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics and engineering productivity
- Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc