Staff Engineer - Data Platform Experience

Datadog

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Posted
32 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $201k
$151k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $163,751–$238,687.

Based on 240 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 266 open roles on FindRole.

Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.

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At a glance

TL;DR · Staff Engineer - Data Platform Experience

As a Staff Engineer on the Data Platform Experience team, you will shape how engineering teams build, operate, and evolve products on the Observability Data Platform. You will lead strategic initiatives to design and deliver shared platform capabilities that reduce developer friction and improve operational visibility. Your daily work involves building scalable features for cost intelligence, including cloud cost allocation and trend analysis, while developing self-service tooling to help teams troubleshoot incidents and manage platform health. This role requires deep distributed systems expertise and technical leadership across multiple teams. You will utilize backend technologies such as Java and Go, along with infrastructure components like Kafka and Kubernetes. The core of this work involves solving complex problems related to cost intelligence, operational tooling, and developer experience within a large-scale SaaS and cloud platform environment.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

What you'll do

  • Lead strategic initiatives to improve how product teams build and operate services on the Observability Data Platform.
  • Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation and optimization recommendations.
  • Develop operational intelligence and self-service tooling to help engineering teams troubleshoot incidents and improve efficiency.
  • Create reusable platform services and developer workflows to increase autonomy while reducing operational complexity.
  • Provide technical leadership by influencing architecture, mentoring engineers, and making hands-on code contributions.
  • Participate in the on-call rotation to maintain platform reliability and observability.

What we're looking for

  • Experience designing and building large-scale SaaS or cloud platforms with deep expertise in distributed systems.
  • Strong software architecture and system design skills to lead complex technical initiatives across multiple teams.
  • Proficiency in backend technologies including Java and Go.
  • Experience with distributed infrastructure such as Kafka and Kubernetes.
  • Ability to influence technical direction and collaborate across organizational boundaries without direct authority.
  • Experience with observability platforms, internal developer platforms, or operational tooling (preferred).
  • Experience with developer productivity solutions or AI-powered engineering workflows (preferred).

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