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Lead a hands-on engineering team building Datadog's Core Analytics Data Access Platform, a unified interface that enables AI and analytics teams to discover and self-serve production-ready datasets while maintaining legal and compliance guardrails.
You will manage a small team of 2–4 data engineers (mix of senior and junior) distributed across Paris and New York, fostering technical excellence and career development. Your responsibilities include defining the technical architecture and roadmap for the Data Access Platform, driving implementation of scalable and secure data pipelines and platform services.
This is a hands-on role where you'll spend substantial time coding, reviewing, and shipping critical platform components. You'll partner closely with Applied AI, Product Analytics, product managers, and internal platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. You'll also ensure data security, governance, and reliability by implementing access controls, lineage tracking, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.
You'll evolve the platform's storage, processing frameworks, API patterns, and operational practices to enable broader adoption and prepare for increased scope and usage.
Ideal candidates have hands-on experience with data pipelines and at-scale data engineering, including ETL/ELT, streaming and/or batch workflows, and production data servicing layers. You should have practical production experience with AWS, Spark, and Iceberg (or equivalent table formats and compute frameworks). A track record of collaborating with data scientists, analysts, and ML teams to operationalize data for model training and analysis is essential. You're operationally strong, with experience defining SLAs, building observability, running incident response, and enforcing data governance in production systems. You balance short-term delivery with long-term architecture and make pragmatic tradeoffs that advance product and platform goals.
