{"schemaVersion":"jobsearcher.job.v1","id":"f74a642d41215ec480db0148","url":"https://jobsearcher.com/jobs/f74a642d41215ec480db0148","canonicalUrl":"https://jobsearcher.com/jobs/f74a642d41215ec480db0148","title":"Manager I, Engineering - Core Analytics","description":"Overview\nAs Engineering Manager, you will lead a small, hands-on data engineering team building a secure, scalable Data Access Platform that powers AI research and analytics. You’ll define the technical direction, contribute to design and code, and collaborate with Applied AI, Product Analytics, and platform teams to deliver reliable datasets and APIs. You’ll balance immediate delivery with long-term platform planning, driving governance, security, and scalable data pipelines. This role offers scope to grow the platform and evolve into a higher engineering tier as impact expands.\n\nCompensation / BenefitsNew hire stock equity (RSUs) and ESPPProfessional development and career pathingMentor/buddy programInclusive culture and employee resource groupsMental health benefits for employees and dependentsCompetitive global benefits with healthcare, 401(k) and more\nResponsibilitiesLead and grow a small data engineering team (2–4 engineers) across Paris and NYCDefine architecture, priorities, and the team roadmap for the Data Access PlatformContribute to design and code to deliver performance, reliability, and operational excellenceCollaborate with Applied AI, Product Analytics, and platform teams to define data contracts, APIs, SLAs, observability, and curated datasetsEnsure data security, governance, lineage, monitoring, and compliance guardrails for safe model trainingPlan and scale the platform, evolving storage, processing frameworks, API patterns, and operational practices\nKey requirementsHands-on engineering manager with team leadership experienceExperience with data pipelines at scale (ETL/ELT, streaming and/or batch), production data servingProficiency with AWS, Spark, and Iceberg (or equivalent)Collaborative track record with data scientists and analytics consumersOperational discipline in SLAs, observability, incident response, and governancePragmatic architect who balances short-term delivery with long-term platform goalsCollaborativeMentorship and people developmentStrong communicationAWSSparkIceberg or equivalent table formats","company":"Datadog","rawCompany":"datadog","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:33:02.028Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager I, Engineering - Core Analytics","description":"Overview\nAs Engineering Manager, you will lead a small, hands-on data engineering team building a secure, scalable Data Access Platform that powers AI research and analytics. You’ll define the technical direction, contribute to design and code, and collaborate with Applied AI, Product Analytics, and platform teams to deliver reliable datasets and APIs. You’ll balance immediate delivery with long-term platform planning, driving governance, security, and scalable data pipelines. This role offers scope to grow the platform and evolve into a higher engineering tier as impact expands.\n\nCompensation / BenefitsNew hire stock equity (RSUs) and ESPPProfessional development and career pathingMentor/buddy programInclusive culture and employee resource groupsMental health benefits for employees and dependentsCompetitive global benefits with healthcare, 401(k) and more\nResponsibilitiesLead and grow a small data engineering team (2–4 engineers) across Paris and NYCDefine architecture, priorities, and the team roadmap for the Data Access PlatformContribute to design and code to deliver performance, reliability, and operational excellenceCollaborate with Applied AI, Product Analytics, and platform teams to define data contracts, APIs, SLAs, observability, and curated datasetsEnsure data security, governance, lineage, monitoring, and compliance guardrails for safe model trainingPlan and scale the platform, evolving storage, processing frameworks, API patterns, and operational practices\nKey requirementsHands-on engineering manager with team leadership experienceExperience with data pipelines at scale (ETL/ELT, streaming and/or batch), production data servingProficiency with AWS, Spark, and Iceberg (or equivalent)Collaborative track record with data scientists and analytics consumersOperational discipline in SLAs, observability, incident response, and governancePragmatic architect who balances short-term delivery with long-term platform goalsCollaborativeMentorship and people developmentStrong communicationAWSSparkIceberg or equivalent table formats","datePosted":"2026-09-15T03:33:02.028Z","dateModified":"2026-09-15T03:33:02.028Z","hiringOrganization":{"@type":"Organization","name":"Datadog","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f74a642d41215ec480db0148"},"url":"https://jobsearcher.com/jobs/f74a642d41215ec480db0148"}}