Senior Software Engineer - Identity

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.

What You'll Do

• Design, build, and maintain reliable data pipelines for ingestion, transformation, and distribution of identity-linked data,  processing large volumes efficiently in production.

• Develop ETL/ELT workflows using distributed computing frameworks on cloud infrastructure, applying strong engineering judgment to architectural and implementation decisions within your scope.

• Design and build API-first services that expose processed identity data to internal teams and external consumers, with a focus on reliability, clear contracts, and ease of integration.

• Implement data quality validation, monitoring, and observability for the components you own, ensuring reliability and correctness at scale.

• Contribute to platform-grade, reusable components that enable downstream teams and support self-service consumption of Identity capabilities.

• Take end-to-end ownership of key components within identity resolution systems and drive their reliability, scalability, and evolution.

• Design and implement privacy-compliant data handling practices, applying GDPR, CCPA, and Samba’s data governance policies, including support for clean room and privacy-preserving data collaboration workflows.

• Engage cross-functional stakeholders, product, data science, and partner teams, to ensure the systems you build support all downstream use cases.

• Drive technical design for components within your scope, producing clear design documents, actively contributing to architecture discussions, and aligning the team on well-reasoned solutions.

• Conduct rigorous code reviews and uphold high standards for code quality, testability, and maintainability.

• Mentor engineers on the team through structured feedback, pairing, and design review.

• Collaborate across adjacent teams, understanding their constraints and requirements, and advocating for shared standards where applicable.

• Own the reliability of your components end-to-end, monitor their health, respond to incidents, and follow through on post-mortem improvements with rigor.

• Participate in on-call rotations and contribute actively to improving operational practices across the team.

• Drive improvements to CI/CD pipelines, deployment processes, and testing coverage for your team’s systems.

Who You Are

• 8+ years of professional software engineering experience, with a strong 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, or equivalent) 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, building components that are reusable and consumable by downstream teams.A clear communicator and cross-functional collaborator, able to articulate technical decisions, engage constructively in design reviews, and navigate complex stakeholder relations