Design and maintain a scalable identity resolution platform
Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
Build and operate batch and streaming pipelines using modern data stack tools
Create clear documentation, standards, and runbooks for identity and governance systems
Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
Establish monitoring and alerting for data quality, freshness, and integrity

Requirements

Production data engineering experience
Bachelor’s degree in computer science, related field or equivalent experience
Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
Experience in delivering significant technical initiatives and building reliable, large scale services
Experience in delivering APIs backed by relationship-heavy datasets
Experience implementing data governance practices, including data quality, metadata management, and access controls
Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
Familiarity with data lakes, cloud warehouses, and storage formats
Strong proficiency in AWS services
Excellent written and verbal communication skills
Successful design and implementation of scalable and efficient data infrastructure
High attention to detail in implementation of automated data quality checks
Effective collaboration with cross-functional teams
Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringSparkScalaAPIsdata governancedata qualitymetadata managementprivacy-by-designautomated data quality checksAI evaluation

Soft Skills

communicationcollaborationattention to detailintegrityownership

Certifications

Bachelor’s degree in computer science