About the job
We are seeking a Sr. Staff Software Engineer to provide technical leadership and direction across three core areas: Data Warehouse, Analytical Velocity, and Data Governance. 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.
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.
Qualifications
Minimum
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.
Preferred
No preferred qualifications listed.