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PinterestPinterestSan Francisco, CA

Sr. Staff Software Engineer, Data Product Platform

Leads architecture and strategy for data warehouse, analytics tools, and governance at massive scale. Requires 12+ years experience with data platforms like Spark/Trino and AI tools for productivity.

209k – 429k
Remote12+ YOEData Engineering

About the role

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.

Compensation

Base salary range: $208,592—$429,454 USD. Eligible for equity. Final salary based on location, experience, skills.

Skills

SparkTrinoFlinkAirflowQuerybookSupersetDatahubAICursorClaude Code

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