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Salary
$209k – $429k per year
Location
Remote (United States)
Seniority
Staff · 12+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 3, 2026. Pinterest scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Pinterest is a visual discovery and social platform where users save and share images and ideas, headquartered in San Francisco, California.

Join Pinterest as a Senior Staff Software Engineer, where you will provide technical leadership and direction for our data product platform. You will architect and drive solutions to handle increasing data volume, navigate business complexity, and accelerate analytical velocity. Your responsibilities will include defining and designing Pinterest's data warehouse architecture, setting the strategic direction for data analytics tools, and leading cross-functional initiatives across the data ecosystem. You will also mentor and elevate the technical bar for engineers and collaborate with stakeholders across Product, Data Science, and Engineering teams.

Missions

  • 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.

Profil recherché

- 12+ years of relevant industry experience with large scale data warehouses, data tools and platforms

- Ability to work with cross-functional partners across multiple organizations

- 5+ years experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, etc

- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience

- Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics and engineering productivity

- Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc

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