Sambatv1mo ago

Senior Software Engineer - Identity

Amsterdam · AmsterdamInternational Full Time Employeesenior

Software EngineerSoftware Engineering

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Overview

Samba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.

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Software EngineerSoftware Engineering

Samba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel.

We are looking for a Staff Software Engineer to join our Identity team in Amsterdam. The Identity team builds and operates the core systems that power Samba cross-device identity resolution, data onboarding, and distribution capabilities, the foundational layer connecting data to advertisers, agencies, data partners, and internal product teams.

You will architect and deliver large-scale, cloud-native data engineering systems that ingest, transform, and distribute identity-linked data at scale.

You bring 12+ years of experience and operate as a technical authority, setting direction, resolving complex ambiguity, and shaping how Identity systems evolve to support Samba’s expanding product ecosystem. You are a subject matter expert recognized across the organization, drive cross-functional alignment, and are accountable for outcomes that span the Identity domain and broader product engineering.

Design, build, and operate large-scale data pipelines for ingestion, transformation, and distribution of identity-linked data, setting the standard for reliability, accuracy, and extensibility across the domain.

Architect ETL/ELT workflows using distributed computing frameworks on cloud infrastructure, making and owning the key engineering decisions that shape how the team builds and scales.

Design and build API-first, platform-grade services that expose Identity capabilities as self-service building blocks, with clear contracts, strong reliability, and ease of integration for internal teams and external clients.

Define and implement observability, data quality validation, and monitoring frameworks to ensure pipeline health at scale.

Drive performance optimization, cloud cost efficiency, and platform-thinking across Identity’s systems, ensuring components are reusable and enable downstream teams to build with confidence.

Own the technical evolution of Identity’s core systems, including probabilistic and deterministic matching, device graph construction, and audience segmentation — driving their reliability, scalability, and long-term direction.

Architect and implement secure data collaboration capabilities, including clean room workflows and privacy-preserving computation, embedding privacy-by-design across all system development with deep application of GDPR, CCPA, and Samba’s data governance policies.

Set the technical direction for how Identity systems serve all downstream use cases, engaging product, data science, commercial, and partner stakeholders to ensure alignment and fit for purpose.

Own technical design and architecture for Identity systems producing clear, decision-driven design documents, contributing to org-level architectural discussions, and driving alignment across engineering, product, and commercial stakeholders.

Lead code and design reviews, champion high standards for code quality, testability, and maintainability, and drive formal alignment across teams on shared tooling and patterns.

Mentor and invest in the growth of engineers across the Identity team through structured feedback, pairing, and design reviews, raising the bar for the team as a whole.

Partner with the Engineering Manager and cross-functional leads on roadmap shaping, technical planning, and systemic risk resolution.

Own the end-to-end reliability of Identity systems, lead incident response, drive post-mortem actions to closure, and deliver sustained improvements to system health.

Define, monitor, and continuously improve SLAs, SLOs, and operational metrics for Identity pipelines and services.

Drive maturity in CI/CD, deployment practices, and testing coverage across the team’s systems.

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.

An exceptional communicator and cross-functional collaborator, able to write sharp technical designs, convey advanced information to diverse stakeholders, and drive alignment in ambiguous situations. A genuine mentor and coach who invests in the growth of others, gives direct feedback, and raises the bar for the team as a whole.

Preferred

Experience in ad tech, identity resolution, data licensing, or digital media, familiarity with device graphs, audience segmentation, or programmatic data flows.

Experience with streaming data processing frameworks (e.g., Kafka, Flink, Spark Streaming).Experience incorporating AI and machine learning capabilities into production data workflows.

Track record of cross-team technical leadership: architectural documentation, engineering standards, or mentorship programs.

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