---
title: 'Staff Engineer - Data Platform Experience at Datadog'
canonical: 'https://feeny.ai/job/staff-engineer-data-platform-experience-datadog-dublin-hrgd8sdh4teg'
type: 'job'
last_seen: '2026-09-05'
---

# Staff Engineer - Data Platform Experience at Datadog

- **Company:** Datadog
- **Location:** Dublin, Ireland / Madrid, Spain / Paris, France
- **Work type:** remote
- **Posted:** 2026-08-10
- **Last confirmed live:** 2026-09-05
- **Apply:** https://careers.datadoghq.com/detail/8119493/?gh_jid=8119493

## Job description

As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience.

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 strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform.
- Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations.
- Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency.
- Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products.
- Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions.
- Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence.

Who You Are:

- You have experience designing and building large-scale SaaS or cloud platforms with deep expertise in distributed systems.
- You have strong software architecture and system design skills and have successfully led complex technical initiatives across multiple teams.
- You have a platform engineering mindset and enjoy building reusable capabilities that enable other engineering organizations to move faster.
- You are an effective communicator who can influence technical direction without direct authority and collaborate across organizational boundaries.
- You have experience with backend technologies such as Java and Go, and distributed infrastructure including Kafka and Kubernetes
- Experience with observability platforms, internal developer platforms, operational tooling, developer productivity solutions, or AI-powered engineering workflows is beneficial but not required.

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:

- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

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](https://www.instagram.com/datadoghq/?hl=en), [LinkedIn,](https://www.linkedin.com/company/datadog) and [Datadog Learning Center.](https://learn.datadoghq.com/)

Equal Opportunity at Datadog:

Datadog is proud to offer [equal employment opportunity](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) 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. Here are our [Candidate Legal Notices](https://www.datadoghq.com/legal/candidate-legal-notices/) for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete [this form](https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform). This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s [Applicant and Candidate Privacy Notice](https://www.datadoghq.com/legal/applicant-candidate-privacy/). For information on our AI policy, please visit [Interviewing at Datadog AI Guidelines](https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/).

## About Datadog

## Company Overview
- **One-liner**: Datadog provides a unified cloud monitoring and security platform for developers, IT operations, and business teams to gain end-to-end visibility across their entire technology stack.
- **Entity Type**: Public (NASDAQ: DDOG)
- **Headquarters**: New York, NY, United States
- **Founded**: 2010
- **Founders**: Olivier Pomel and Alexis Lê-Quôc

## Core Business
- **Primary industries**: Cloud monitoring, observability, application security, IT operations, DevOps
- **Target customers**: B2B – from SMBs to large enterprises, serving developers, IT operations, security teams, and business users
- **Mission/purpose**: “We are building the modern monitoring and security platform for developers, IT operations teams and business users in the cloud age.” [datadoghq.com](https://www.datadoghq.com/)

## Products & Services
- **Infrastructure Monitoring**: Metrics collection and visualization for servers, containers, cloud services, and hybrid environments.
- **APM (Application Performance Monitoring)**: Trace and optimize application performance end-to-end.
- **Log Management**: Centralized log ingestion, analysis, and exploration with sensitive data scanning and audit trail.
- **Security**: Unified security and observability – including Cloud SIEM, Application Security Management, and runtime detection to defend against AI-powered attacks. [datadoghq.com](https://www.datadoghq.com/product/security/)
- **Digital Experience Monitoring (DEM)**: Synthetic monitoring (browser & API tests) and Real User Monitoring (RUM) for frontend performance.
- **Bits AI**: AI agents that chat, investigate, and remediate issues; includes Watchdog for proactive anomaly detection.
- **Network Monitoring**: Analyze network traffic patterns across cloud environments.
- **Service Management** and **Software Delivery**: Incident response, workflow automation, CI Visibility, DORA Metrics, and OpenTelemetry support.
- **Database Monitoring** and **Data Streams Monitoring**: Deep visibility into databases and streaming pipelines.

## Market Standing
- **Valuation/Market Cap**: ~$39.9 billion (as of mid-2026) [linkedin.com](https://www.linkedin.com/company/datadog)
- **Key Metric**: FY2025 annual revenue of $3.43 billion [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)
- **Notable Investors/Partners**: Index Ventures (led Series C), with total funding of ~$1.67 billion including IPO proceeds. [linkedin.com](https://www.linkedin.com/company/datadog)
- **Growth Signals**:
  - Recognized as a Leader in the **Gartner Magic Quadrant for Observability Platforms** and for **Digital Experience Monitoring**; also named a Leader in **The Forrester Wave: AIOps Platforms, Q2 2025**. [datadoghq.com](https://www.datadoghq.com/)
  - Headcount grew to approximately **10,100 employees** by April 2026 (up from ~8,100+ reported earlier). [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)
  - Maintains a strong Glassdoor rating of **4.2/5.0**, with ~80% of employees recommending to a friend. [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)

## Competitive Advantages
- **Unified platform**: Combines infrastructure monitoring, APM, log management, and security in a single solution – reducing tool sprawl.
- **AI-native capabilities**: Bits AI agents and Watchdog provide automated root-cause analysis, remediation, and proactive insights.
- **Industry recognition**: Consistently placed as a Leader in multiple analyst quadrants (Gartner, Forrester), validating product quality and market presence.
- **Scale and ecosystem**: 700+ integrations, a rich marketplace, and broad support for OpenTelemetry and other open standards.

## Strategic Focus
- **AI and automation**: Deep investment in AI-driven features (Bits AI, Watchdog, automated remediation) to reduce toil and improve mean-time-to-resolution.
- **Security observability**: Extending the platform to unify security and observability – a key differentiator as threats become more complex.
- **Global expansion**: Growing employee presence across the Americas, EMEA, and Asia Pacific (53 countries) to serve a widening customer base. [careers.datadoghq.com](https://careers.datadoghq.com/)

## Why Work Here
- **Culture**: Transparent, inclusive, and engineering-driven. Diversity and inclusion are core values, with active Employee Resource Groups. [careers.datadoghq.com](https://careers.datadoghq.com/)
- **Flexibility**: Operates a flexible work environment supporting remote, hybrid, and office cultures – “Innovation happens everywhere”. [careers.datadoghq.com](https://careers.datadoghq.com/)
- **Benefits**: Generous benefits tailored by region, covering physical, mental, and financial wellness. [careers.datadoghq.com](https://careers.datadoghq.com/)
- **Growth**: 454 open positions globally (as of mid-2026) across engineering, sales, product, marketing, and technical solutions – with opportunities to work on cutting-edge observability and AI challenges. [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)
- **Ratings**: CEO Olivier Pomel enjoys ~87% approval; overall Glassdoor rating is 4.2/5.0 (Work-Life 3.8, Compensation 3.9, Culture 4.0). [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)

## Sources
1. [datadoghq.com](https://www.datadoghq.com/)
2. [careers.datadoghq.com](https://careers.datadoghq.com/)
3. [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)
4. [linkedin.com](https://www.linkedin.com/company/datadog)

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