Senior Software Engineer - Identity

What you'll do

• Design, build, and operate large-scale data pipelines for ingestion, transformation, and distribution of identity-linked data
• Architect ETL/ELT workflows using distributed computing frameworks on cloud infrastructure
• Design and build API-first, platform-grade services exposing Identity capabilities as self-service building blocks
• Define and implement observability, data quality validation, and monitoring frameworks
• Drive performance optimization, cloud cost efficiency, and platform-thinking across Identity’s systems
• Own the technical evolution of Identity’s core systems including probabilistic and deterministic matching, device graph construction, and audience segmentation
• Architect and implement secure data collaboration capabilities including clean room workflows and privacy-preserving computation
• Set technical direction for Identity systems serving downstream use cases and ensure cross-functional alignment
• Own technical design and architecture producing clear design documents and driving alignment across teams
• Lead code and design reviews, champion code quality, testability, and maintainability
• Mentor and invest in growth of engineers through feedback, pairing, and design reviews
• Partner with Engineering Manager and cross-functional leads on roadmap shaping, technical planning, and risk resolution
• Own end-to-end reliability of Identity systems, lead incident response, and drive post-mortem actions
• Define, monitor, and improve SLAs, SLOs, and operational metrics
• Drive maturity in CI/CD, deployment practices, and testing coverage

Requirements

• 12+ years of professional software engineering experience, with deep expertise in data engineering, backend systems, or distributed data infrastructure
• Proven ability to own technical architecture end-to-end in a complex, production data environment, from design through delivery and operations
• Strong command of Python and SQL; comfortable with JavaScript in full-stack or API contexts
• Extensive hands-on experience with distributed processing frameworks (e.g., Spark, Databricks) operating on large-scale datasets in production
• Solid experience with cloud platforms (AWS and/or GCP) and their core data services
• Experience with workflow orchestration tools (Apache Airflow, dbt, Prefect, or equivalent)
• Strong familiarity with data warehousing and lakehouse architectures, including Snowflake
• Experience building platform-grade, API-first systems that enable self-service by downstream consumers, internal teams or external clients
• Deep understanding of data privacy regulations (GDPR, CCPA) with practical experience building privacy-compliant systems that handle PII at scale
• Familiarity with secure data collaboration concepts, data clean rooms, privacy-preserving computation, or equivalent patterns
• Exceptional communication and cross-functional collaboration skills, able to write sharp technical designs, convey advanced information to diverse stakeholders, and drive alignment in ambiguous situations
• Genuine mentor and coach who invests in the growth of others, gives direct feedback, and raises the bar for the team

Tech stack

Benefits