Principal Data Engineer

Join Sovrn, a leading adtech company, as a Principal Data Engineer. In this specialized role, you will have architectural ownership and technical leadership responsibilities focused on Sovrn's Data Collective. You will design and evolve data platform systems, lead architectural decisions, and drive technical standards and best practices. You will also partner with product, data science, and platform teams to ship end-to-end solutions, establish AI engineering practices, and mentor and level up engineers. This position offers a flexible vacation policy, first-class health benefits, retirement benefits, and a focus on mental and physical health.

• Conception et évolution des systèmes de plateforme de données à l'échelle de l'échange, y compris la conception de pipelines, la modélisation des données et l'architecture du lac de données.
• Direction des décisions architecturales concernant l'infrastructure de données, y compris la conception de pipelines, la modélisation des données et les couches de services de données.
• Recherche, mise en œuvre et évolution des méthodes de traitement et de démocratisation des données au sein de l'organisation.
• Excellent understanding of real-time streaming and batch pipelines, big data, and data lakes; hands-on experience in distributed data processing in the AWS ecosystem
• Ability to clearly document and communicate architectural concepts at multiple levels; ability to lead problem definition, solution designs, and implementation work plans
• Comfort driving technical decisions in ambiguous, fast-moving environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Strong understanding of second-layer big data platforms such as Snowflake and Databricks, applicable use cases, best practices, implementation, and support considerations
• 10+ years of software engineering experience, with a strong data engineering and backend track record
• Demonstrated experience leading AI or agentic engineering efforts in production environments; not just experimentation, but shipped, operated, and iterated on
• A point of view on where AI is and isn’t the right too, and the credibility to make that case
• 5+ years working specifically in adtech data infrastructure, SSP, DSP, exchange, or ad server environments
• Experience with data security and compliance (PII, CCPA, GDPR, etc.)
• Strong experience in structured, unstructured, and semi-structured data techniques; metadata management, data lineage, and data governance
• Hands-on experience with LLM integration patterns: RAG, vector DBs, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Understanding of DevOps and SRE practices