Staff Engineer - Data Platform Experience

DataDog
Lisbon
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Technical leadership","Mentoring","Communication","Collaboration","System design","Architecture","Influence without authority"]

Lead strategic, hands-on platform engineering for the Observability Data Platform, reducing developer friction and improving operational visibility. Design and deliver shared capabilities such as cloud cost intelligence, scalable operational tooling, and self-service workflows that help teams troubleshoot incidents and boost efficiency. Provide technical leadership across multiple teams by influencing architecture, mentoring engineers, and raising engineering standards while staying close to the code, including participating in on-call.

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FursaFursa
DataDog
DataDog
14 hours ago

Staff Engineer - Data Platform Experience

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

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

Job Summary

Lead strategic, hands-on platform engineering for the Observability Data Platform, reducing developer friction and improving operational visibility. Design and deliver shared capabilities such as cloud cost intelligence, scalable operational tooling, and self-service workflows that help teams troubleshoot incidents and boost efficiency. Provide technical leadership across multiple teams by influencing architecture, mentoring engineers, and raising engineering standards while staying close to the code, including participating in on-call.
Location: Lisbon
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead strategic engineering initiatives to 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 for platform health, incident troubleshooting, and improved 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 through architecture influence, mentoring, and hands-on contributions, including participating in the on-call rotation and improving reliability and observability.

Pay and Benefits

Equity and Bonus:Equity
Perks:Equity

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, building reusable capabilities and developer workflows that enable other teams to move faster.
  • •Backend experience with Java and Go, plus distributed infrastructure experience such as Kafka and Kubernetes.
  • •Effective communication skills to influence technical direction without direct authority and collaborate across organizational boundaries.
Experience:SaaSCloud platformsObservabilityDistributed systemsDeveloper platformsOperational toolingDeveloper productivity
Skills:Technical leadershipMentoringCommunicationCollaborationSystem designArchitectureInfluence without authority
Languages:English
Tech Stack:JavaGoKafkaKubernetesDistributed systemsCloudSaaSObservability Data Platform

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