Manager I, Engineering, Core Analytics

Datadog

Hybrid

Quick summary

Work type
Hybrid
Location
Paris, FranceNew York, NY
Salary
$187,000–$240,000 / yr
Posted
25 days ago
Nearby
8 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $214k
$156k most similar roles pay here $256k

This role pays more than 59% of similar roles. Most pay $169,265–$246,150 — the shaded band above. At the midpoint, this role pays about $214k versus about $208k for comparable roles.

Based on 239 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 133 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 66 roles with salary data.

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View all roles at Datadog

At a glance

TL;DR · Manager I, Engineering, Core Analytics

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As a hands-on engineering manager leading a small team of 2–4 data engineers in Paris and NYC, you will oversee the development of Datadog’s Core Analytics Data Access Platform, a unified interface enabling self-service access to production-ready datasets for AI and analytics teams. Your responsibilities include defining technical direction, contributing to design and code, and partnering with internal stakeholders like Applied AI and Product Analytics to ensure reliable data delivery. You’ll manage security, governance, and reliability by implementing robust access controls and compliance measures while scaling the platform’s storage and processing frameworks to support broader adoption. This role requires experience in data pipelines, AWS, Spark, Iceberg, and a strong background in operational excellence and collaboration with ML teams.

Skills

AWS Spark Iceberg ETL ELT Kafka SQL Python CI/CD SLAs Observability Incident_Response Data_Governance API_Design Docker Kubernetes PostgreSQL Snowflake BigQuery

What you'll do

  • Lead a small engineering team in Paris and NYC to build and scale the Data Access Platform.
  • Define architecture and priorities for secure, scalable data pipelines and platform services.
  • Contribute directly by coding critical components of the Data Access Platform.
  • Partner with internal teams to define data contracts, APIs, and SLAs for model training.
  • Ensure compliance and security in data access controls and monitoring systems.
  • Plan long-term evolution of storage, processing frameworks, and operational practices.

What we're looking for

  • Lead a small engineering team of 2-4 data engineers in Paris and NYC.
  • Define architecture and roadmap for the Data Access Platform.
  • Contribute to design and coding of critical platform components.
  • Ensure data security, governance, and reliability through access controls and monitoring.
  • Experience with AWS, Spark, and Iceberg or equivalent technologies.
  • Collaborate with Applied AI teams and product managers on data contracts and APIs.

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