below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$176,650–$239,025
— the blue band above.
At the midpoint, this role pays about
$319k
versus about
$208k
for comparable roles.
Based on 240 similar postings.
Employer
About Pinterest
Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.
Pinterest currently has
76 open roles
on FindRole.
Listed pay typically runs
$177,185–$339,078
across 70 roles with salary data.
The Sr. Staff Software Engineer, Data Product Platform joins the Data Product Platform team to provide technical leadership across data warehouse architecture, analytical velocity, and data governance. This role involves spearheading the design of foundational data warehouses, setting the strategic direction for analytics tools like experimentation platforms and data visualization, and driving the adoption of comprehensive governance policies. You will build and manage systems to handle increasing data volume and navigate business complexity while developing AI-assisted data analytics capabilities. Key technologies include Spark, Trino, Flink, Airflow, Querybook, Superset, and DataHub. You will also leverage AI coding tools such as Cursor, Claude Code, and Codex. The work focuses on solving data-driven decision-making challenges within an exadata-scale data warehouse environment to ensure reliable data products.
What does a Software Engineer earn in Remote?
Median $208800 from 354 postings across 50 companies.
Design and oversee Pinterest's data warehouse architecture, storage, governance, and usage.
Set the strategic direction for analytics tools including experimentation platforms and AI-assisted capabilities.
Define and implement comprehensive data governance policies to ensure quality and compliant handling.
Lead complex, cross-functional initiatives while managing trade-offs between usability, efficiency, and compliance.
Drive measurable adoption of platform and tooling initiatives across the entire product portfolio.
Mentor engineers and elevate technical standards for complex design and execution strategies.
Build AI tools and platforms to accelerate data pipeline authoring and engineering productivity.
What we're looking for
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 of experience building data warehouses and ecosystem tools using technologies like Spark, Trino, Flink, Airflow, Querybook, Superset, or DataHub.
Ability to work with cross-functional partners across multiple organizations.
Hands-on experience building tools and data pipelines leveraging AI coding tools such as Cursor, Claude Code, or Codex.
Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics, and engineering productivity.
Distributed Systems
Platform Engineering
CI/CD
Infrastructure as Code
Policy as Code
Streaming
Data Governance
Systems Design
Monitoring
Observability
Data Quality
data, lineage
Distributed Systems
Platform Engineering
CI/CD
Infrastructure as Code
Data Governance
Systems Design
Streaming Ingestion
Monitoring
Observability
Data Quality
data, lineage
Encryption
Policy as Code