Sr. Staff Software Engineer, Data Product Platform

Pinterest; United States; Hybrid; USD 209,000 - 429,000; Full time

Benefits offered by this job

Equity compensation

Job summary

Pinterest is seeking a Sr. Staff Software Engineer for the Data Product Platform. You will help shape data infrastructure and AI-enabled analytics used by millions of users across the platform.

You will lead data warehouse architecture, governance, and tooling while mentoring engineers and collaborating with Product, Data Science, and Engineering teams to deliver scalable data solutions. Equity compensation and a highly competitive salary are offered, with hybrid US-based work and quarterly

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience.
• At least 12 years of professional experience with large-scale data warehouses, tools, and platforms.
• Minimum 5 years building data warehouses and tools using Spark, Trino, Flink, Airflow, Querybook, Superset, or DataHub.

Responsibilities

• Architect and execute Pinterest's data warehouse framework with focus on storage and governance.
• Define long-term analytics tool strategy including experimentation, ad-hoc analysis, visualization, pipelines and AI-driven data ops.
• Create data governance frameworks and tools for reliability, ethics, and operational effectiveness.
• Address cross-departmental data challenges balancing usability, performance and regulatory compliance.
• Drive user adoption and business results through platform/tool enhancements.
• Provide technical guidance and mentorship on design principles and execution strategies.
• Collaborate with Product, Data Science, and Engineering to align projects with goals.
• Stay updated on industry trends to improve the data product platform.
• Engage in code reviews and contribute to best practices.

Skills

Spark

Trino

Flink

Airflow

Querybook

Superset

DataHub

Cursor

Claude Code

Codex

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Spark

Job description

Sr. Staff Software Engineer, Data Product Platform at Pinterest.

About the role Become a vital member of a key team at Pinterest that drives the company's data-centric strategies. In this position, you will be responsible for designing and evolving our extensive data infrastructure, ensuring it meets both present requirements and future demands for AI-enhanced analytics. This role presents a unique opportunity to influence how millions of users engage with data across the platform.

Key facts

Location: San Francisco, CA, US; Remote, US Engagement: Regular Team: Data Product Platform

What you'll do

• Spearhead the architecture and execution of Pinterest's data warehouse framework, focusing on storage solutions and governance methodologies.
• Define the long-term strategy for sophisticated data analytics tools, which will include experimentation, ad-hoc analysis, visualization, pipeline development, and AI-driven data operations.
• Create and implement data governance frameworks and tools to ensure data reliability, ethical usage, and operational effectiveness.
• Address intricate, cross-departmental challenges within the data landscape, balancing the needs for usability, performance, and regulatory compliance.
• Propel significant user adoption and drive measurable business results through enhancements to platforms and tools.
• Offer technical guidance and mentorship to elevate engineering practices, focusing on design principles, execution strategies, and critical decision-making processes.
• Collaborate closely with Product, Data Science, and Engineering teams to gather requirements and ensure that projects are aligned with organizational goals.
• Stay abreast of industry trends and emerging technologies to continuously improve the data product platform.
• Engage in code reviews and contribute to the development of best practices within the engineering team.
• Analyze and optimize data workflows to enhance performance and reduce latency across the data ecosystem.
• Lead initiatives that promote a culture of data-driven decision-making across the organization.

Requirements

• A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience.
• At least 12 years of professional experience working with large-scale data warehouses, tools, and platforms.
• A minimum of 5 years of experience in constructing data warehouses and associated tools using technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, or DataHub.
• Proven ability to work collaboratively with cross-functional teams across various departments.
• Direct experience in developing tools and data pipelines utilizing AI coding assistants like Cursor, Claude Code, or Codex.
• Practical knowledge in creating AI-driven tools and platforms that enhance data pipeline development, data analysis, and overall engineering efficiency.
• Strong problem-solving skills and the ability to think critically about complex data challenges.

Nice to have

• Experience with cloud-based data solutions and services.
• Familiarity with machine learning frameworks and their application in data analytics.
• Knowledge of data privacy regulations and compliance standards.

Skills & tools

• Proficient in Spark, Trino, Flink, Airflow, Querybook, Superset, and DataHub.
• Experience with AI coding tools such as Cursor, Claude Code, and Codex.
• Strong analytical skills and a passion for data-driven insights.
• Excellent communication skills, both written and verbal, to effectively convey complex technical concepts.

Practical notes

• This role requires 1-2 days of in-office collaboration each quarter, but candidates can reside anywhere within the United States.
• Please note that relocation assistance is not available for this position.
• Only applicants based in the US will be considered.
• The salary range for this position is between $208,592 and $429,454 USD. The final compensation will be determined based on various factors, including location, travel requirements, prior experience, and specific skill sets.
• This position is also eligible for equity compensation.

Join Pinterest as a Sr. Staff Software Engineer in the Data Product Platform team, where your expertise will help shape the future of data interaction for millions of users while working in a collaborative and innovative environment.