Sr. Staff Software Engineer, Data Product Platform

About the role

Pinterest is a platform where millions of people discover creative ideas, dream about new possibilities, and plan memorable moments. We're on a mission to help everyone create the life they love, and we're looking for someone passionate about using technology to make that happen. Join us to ignite innovation, transform passion into growth opportunities, and celebrate diversity.

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.

Requirements

• 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.

Qualifications

• Passionate about building world-class data ecosystems at massive scale.
• Experience leading complex technical design, execution strategies, and critical trade-off decisions.
• Strong communication and collaboration skills with cross-functional partners.

Skills

• Data warehousing and management.
• Data analytics and tools.
• Data governance and compliance.
• AI and machine learning.
• Collaboration and team leadership.

Benefits

• Flexible work schedule.
• Equity compensation.
• Health and wellness programs.
• Professional development opportunities.

Pay

$208,592—$429,454 USD

Schedule

In-office 1-2 times per quarter.