Staff Engineer - Data Platform Experience

DataDog
Dublin, Madrid, Paris
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Technical leadership","Communication","Influencing without authority","Cross-team collaboration"]

As a Staff Engineer on the Data Platform Experience team, you’ll lead the design and delivery of shared platform capabilities on the Observability Data Platform. Build scalable capabilities for cost intelligence, develop operational intelligence and self-service tooling for troubleshooting, and create reusable services and developer workflows. You’ll provide hands-on technical leadership across teams, influence architecture and standards, and participate in on-call to improve reliability and observability.

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FursaFursa
DataDog
DataDog
14 hours ago

Staff Engineer - Data Platform Experience

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

As a Staff Engineer on the Data Platform Experience team, you’ll lead the design and delivery of shared platform capabilities on the Observability Data Platform. Build scalable capabilities for cost intelligence, develop operational intelligence and self-service tooling for troubleshooting, and create reusable services and developer workflows. You’ll provide hands-on technical leadership across teams, influence architecture and standards, and participate in on-call to improve reliability and observability.
Location: Dublin, Madrid, Paris
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •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 to help engineering teams understand platform health and troubleshoot incidents.
  • •Drive reusable platform services and developer workflows that increase engineering autonomy and reduce operational complexity.
  • •Provide technical leadership across teams by influencing architecture, mentoring engineers, and contributing hands-on to improve reliability and engineering standards.

Pay and Benefits

Equity and Bonus:Equity
Perks:RsusEquity

Key Requirements

  • •Experience designing and building large-scale SaaS or cloud platforms with deep distributed systems expertise.
  • •Strong software architecture and system design skills, with experience leading complex technical initiatives across multiple teams.
  • •A platform engineering mindset focused on building reusable capabilities that help other teams move faster.
  • •Ability to influence technical direction without direct authority, and collaborate effectively across organizational boundaries.
  • •Hands-on experience with backend and distributed infrastructure technologies such as Java, Go, Kafka, and Kubernetes.
Experience:SaaSCloud platformsDistributed systemsObservabilityPlatform engineering
Skills:Technical leadershipCommunicationInfluencing without authorityCross-team collaboration
Tech Stack:JavaGoKafkaKubernetes

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn