Sr. Staff Software Engineer, Data Product Platform

Pinterest; San Francisco (CA); On-site; USD 208,592 - 429,454; Full time

Job summary

A leading social media platform is seeking a Sr. Staff Software Engineer to lead technical initiatives in their data product team. This role focuses on architecting solutions for large-scale data warehouses, enhancing data analytics tools, and driving data governance policies. Candidates should have over 12 years of experience, a relevant bachelor’s degree, and proficiency with technologies such as Spark and AI coding tools. The position is fully remote but requires in-office collaboration occasionally.

Qualifications

• 12+ years of relevant industry experience with large-scale data warehouses.
• 5+ years of experience building data warehouses and tools.
• Hands-on experience building tools and data pipelines leveraging AI coding tools.

Responsibilities

• Define and design Pinterest's data warehouse architecture.
• Set strategic direction for data analytics tools.
• Define and drive the adoption of data governance policies.

Skills

Large scale data warehouses

Data tools and platforms

Spark

Trino

Flink

Airflow

AI coding tools

Education

Bachelor's degree in Computer Science or related field

Tools

Cursor

Claude Code

Codex

Job description

Overview

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn’t just a feature, it’s a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Data Product Platform is mission-critical to accelerating data-driven decision-making at Pinterest on the foundation of 100s of thousands of tables and an exadata-scale data warehouse. We strive to provide effortless, efficient, and reliable data products and platforms that power the entire company. We achieve this by investing in three core areas:

1. Data Warehouse: Building and managing the foundational data warehouses that enable key analyses across both our core engagement and monetization products.
2. Analytical Velocity: Creating powerful analytical tools that empower internal data users to leverage our vast data assets and capable infrastructure effectively.
3. Data Governance: Defining and implementing the data governance policies and tools necessary to ensure the responsible, efficient and compliant storage and handling of all data.

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.

What you'll do

• 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 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.

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 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.

Relocation Statement

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country.

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Compensation and Inclusion

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. Base salary range for this position is disclosed below and the position is eligible for equity. Final salary is based on location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$208,592 – $429,454 USD

Our Commitment to Inclusion

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics, or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.