Senior Staff Software Engineer (Data Product Platform)

Pinterest; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Pinterest is seeking a Sr. Staff Software Engineer to provide technical leadership across data ecosystems at scale. You will architect and drive solutions for analytics, AI-focused data products, and governance while aligning with product and engineering stakeholders.

We value hands-on experience with large-scale data platforms and a track record of delivering measurable business impact through data tooling and AI-enabled analytics capabilities.

Qualifications

• 12+ years of relevant industry experience with large-scale data warehouses and data tools.
• Ability to lead cross-functional partnerships across Product, Data Science, and Engineering teams.
• 5+ years building data warehouses and tools using Spark, Trino, Flink, Airflow and related ecosystems.
• Hands-on experience building AI tools and platforms to accelerate data pipeline authoring and analytics.
• Hands-on experience with AI coding tools (Cursor, Claude Code, Codex, etc.).

Responsibilities

• Lead the definition and design of Pinterest’s data warehouse architecture, storage, governance, and usage.
• Shape strategic direction for data analytics tools, experimentation platforms, visualization, and data pipeline tooling.
• Define and drive adoption of comprehensive data governance policies and tooling.
• Lead cross-functional initiatives across the data ecosystem, balancing usability, efficiency, and compliance.
• Drive measurable adoption and business impact across the product portfolio through platform initiatives.
• Mentor engineers and elevate the technical bar for complex design and execution decisions.
• Collaborate with Product, Data Science, and Engineering to understand user needs and drive progress.

Education

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

Tools

Spark

Trino

Flink

Airflow

Querybook

Superset

DataHub

Cursor

Claude Code

Codex

Job 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 platformsAbility to work with cross-functional partners across multiple organizations5+ years experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, etcBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experienceHands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics and engineering productivityHands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc