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Manager I, Engineering - Core Analytics

192 000 - 240 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
France/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager I, Engineering - Core Analytics (Data Platform): Leading and building a secure, scalable Data Access Platform that provides production-ready datasets and APIs for Applied AI and analytics with an accent on data pipelines, platform services, and governance guardrails. Focus on designing scalable architecture, coding critical components, and ensuring observability, reliability, and compliance for model training and analytical workflows.

Location: New York, New York, USA; hybrid workplace

Salary: $192,000–$240,000 USD per year, plus equity and possible variable compensation

Company

Datadog provides a monitoring and analytics platform for technical teams.

What you will do

  • Lead, mentor, and grow a hands-on team of 2–4 data engineers across Paris and New York.
  • Define the architecture, priorities, and roadmap for the Core Analytics Data Access Platform.
  • Build scalable, secure data pipelines, platform services, APIs, and production data access layers.
  • Contribute substantially to system design, coding, code reviews, and delivery of critical platform components.
  • Partner with Applied AI, Product Analytics, product managers, and platform teams on data contracts, SLAs, observability, and curated datasets.
  • Implement access controls, data lineage, monitoring, compliance guardrails, and operational practices for platform scaling.

Requirements

  • Experience as a hands-on engineering manager who continues to contribute to design and code.
  • Practical experience building ETL/ELT, streaming or batch workflows, and production data servicing layers at scale.
  • Production experience with AWS, Spark, and Iceberg or equivalent table formats and compute frameworks.
  • Experience working with applied ML teams, data scientists, and analytics consumers on model training and analysis.
  • Experience defining SLAs, building observability, responding to incidents, and enforcing data governance in production.
  • Ability to balance short-term delivery with long-term architecture and make effective platform trade-offs.

Culture & Benefits

  • Hybrid workplace focused on office collaboration and work-life harmony.
  • New-hire stock equity through RSUs and an employee stock purchase plan.
  • Professional development, product training, career pathing, mentoring, and buddy programs.
  • Inclusive culture with employee resource groups, community guilds, and internal inclusion talks.
  • Global mental health benefits for employees and dependents, alongside healthcare, dental, parental planning, paid time off, fitness reimbursements, and a 401(k) plan with match.

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