About the company
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Responsibilities
- Define and design Pinterest's data warehouse architecture, storage, and access patterns.
- Lead ambiguous, highly challenging, and cross-functional initiatives across the data warehouse and agentic data analytics domains.
- 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.
- 8+ 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.
Conditions
- This position is not eligible for relocation assistance.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country.
- US based applicants only.