2 months ago
Responsibilities
- Lead the technical direction of the Data Semantics team while contributing hands-on to design, implementation, and delivery.
- Build and scale semantic infrastructure connecting OpenTelemetry, Datadog-native telemetry, cloud-provider telemetry, and customer-defined data models.
- Drive initiatives involving schema evolution, telemetry standardization, data insights, and semantic interoperability across Datadog products.
- Partner with engineering and product teams to define standards, align stakeholders, and deliver platform capabilities.
- Mentor engineers through design reviews, technical guidance, operational excellence, and career development.
- Participate in on-call rotations and lead investigations and resolutions for complex production incidents affecting critical platform services.
Requirements
- Significant experience designing, operating, and scaling large-scale data infrastructure, distributed systems, or high-throughput data platforms.
- Demonstrated Staff-level impact through technical leadership, architectural ownership, cross-team influence, and mentorship.
- Strong communication skills and the ability to drive alignment across engineering and product organizations without direct authority.
- Product-oriented mindset with the ability to connect platform investments to customer outcomes and business impact.
- Comfort operating in ambiguous problem spaces while balancing long-term platform strategy with pragmatic execution.
- Experience with schema design, metadata systems, OpenTelemetry, observability platforms, knowledge graphs, or AI-assisted developer tooling is a plus.
Benefits
- Hybrid workplace with office collaboration
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Categories
BackendData Engineering
About Datadog
Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.