# Sr. Staff Software Engineer, Data Product Platform

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $209k – $429k/yr
**Experience:** 12+ years
**Skills:** Spark, Trino, Flink, Airflow, Querybook, Superset, Datahub, AI, Cursor, Claude Code
**Posted:** 2026-04-09

> 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.

## Job Description

## 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.

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