Description
About Pinterest: 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.
The Data Product Platform is mission-critical to accelerate data-driven decision-making at Pinterest on the foundation of 100s of thousands of tables and an exadata-scale data warehouse.
We are seeking a Staff Software Engineer to provide technical leadership and contribute to the development of solutions across both these pillars.
In this role, you will shape the vision and drive the execution of the solutions that handle increasing data volume, navigate business complexity, accelerate analytical velocity, and build the foundation for our next generation of agentic analytics products.
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.
Benefits:
- Salary range: $177,185-$364,795 USD
- Equity eligibility
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