Manager I, Engineering - Core Analytics

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• Design Product Management Sales Technical Solutions Early Career & Internships Locations Americas Asia Pacific EMEA Remote All Jobs Manager I, Engineering - Core Analytics New York, New York, USA You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do

Lead a Hands-On Engineering Team

• Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) 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.
• 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. Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. 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 (Datadog employee resource groups) 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. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. #LI-Hybrid 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 About Datadog

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.

Equal Opportunity

at Datadog 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.

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