Senior Software Engineer - Identity

What you'll do

• Design, build, and maintain reliable data pipelines for ingestion, transformation, and distribution of identity-linked data at scale
• Develop ETL/ELT workflows using distributed computing frameworks on cloud infrastructure
• Design and build API-first services exposing processed identity data to internal and external consumers
• Implement data quality validation, monitoring, and observability for owned components
• Contribute to platform-grade reusable components enabling downstream teams
• Take end-to-end ownership of key components within identity resolution systems
• Design and implement privacy-compliant data handling practices applying GDPR, CCPA, and data governance policies
• Engage cross-functional stakeholders to support downstream use cases
• Drive technical design, produce design documents, and contribute to architecture discussions
• Conduct rigorous code reviews and uphold high standards for code quality
• Mentor engineers through feedback, pairing, and design review
• Collaborate across teams and advocate for shared standards
• Own reliability of components, monitor health, respond to incidents, and follow up on improvements
• Participate in on-call rotations and improve operational practices
• Drive improvements to CI/CD pipelines, deployment processes, and testing coverage

Requirements

• 8+ years of professional software engineering experience with focus on data engineering, backend systems, or distributed data infrastructure
• Proficient in Python and SQL; comfortable with JavaScript in full-stack or API contexts
• Strong hands-on experience with distributed processing frameworks (e.g., Spark, Databricks) working with large-scale datasets in production
• Practical experience with cloud platforms (AWS and/or GCP) and their core data services
• Hands-on experience with workflow orchestration tools (Apache Airflow, dbt, Prefect, or equivalent)
• Strong familiarity with data warehousing and lakehouse technologies, including Snowflake
• Solid understanding of data privacy regulations (GDPR, CCPA) and practical experience building compliant systems
• Familiarity with platform-thinking and API-first service design
• Clear communicator and cross-functional collaborator
• Active mentor who invests in others and provides direct feedback
• Preferred: experience with streaming data processing frameworks (Kafka, Flink, Spark Streaming)
• Preferred: experience incorporating AI and machine learning capabilities into production data workflows
• Preferred: exposure to ad tech, identity resolution, data licensing, or digital media, familiarity with device graphs, audience segmentation, or Measurement

Tech stack

Benefits