Manager I, Engineering - Core Analytics

What You’ll Do Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows. Plan and Scale the Platform: Evolve storage, processing frameworks, API patterns, and operational practices to enable broader adoption and prepare the platform for increased scope and usage. Who You Are Hands-On Engineering Manager who enjoys managing a small team while remaining an active contributor to design and code. Experienced in Data Pipelines and At-Scale Data Engineering, with practical experience building ETL/ELT, streaming and/or batch workflows, and production data servicing layers. Practical Knowledge of Our Core Stack: production experience with AWS, Spark, and Iceberg (or equivalent table formats and compute frameworks). Collaborative Partner to Data Scientists and Analysts: track record working with applied ML teams, data scientists, and analytics consumers to operationalize data for model training and analysis. Operationally Strong: experience defining SLAs, building observability, running incident response, and enforcing data governance in production systems. Pragmatic Architect and Deliverer: able to balance short-term delivery with long-term architecture and make tradeoffs that advance product and platform goals. Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate’s skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $187,000 — $240,000 USD Equal Opportunity Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. #J-18808-Ljbffr