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# Data Semantics

- **Company:** Datadog
- **Location:** Inconnu, France
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Artificial Intelligence, Big Data, Programming Tools, Distributed Systems, Graph Database, Metadata, Datadog, Data Analytics, Data Management
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/staff-engineer-data-semantics-datadog-8681324

## About the Role

* You have significant experience designing, operating, and scaling large-scale data infrastructure, distributed systems, or high-throughput data platforms.
 * You have demonstrated Staff-level impact through technical leadership, architectural ownership, cross-team influence, and mentorship.
 * You are a strong communicator who can drive alignment across engineering and product organizations without direct authority.
 * You bring a product-oriented mindset and can connect platform investments to customer outcomes and business impact.
 * You are comfortable operating in ambiguous problem spaces, 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.

## Description

* Lead the technical direction of the Data Semantics team while remaining deeply hands-on in design, implementation, and delivery.
 * Build and scale semantic infrastructure that bridges OpenTelemetry, Datadog-native telemetry, cloud-provider telemetry, and customer-defined data models.
 * Drive platform initiatives focused on schema evolution, telemetry standardization, data insights, and semantic interoperability across Datadog products.
 * Partner with engineering and product teams across the platform to define standards, align stakeholders, and deliver high-leverage platform capabilities.
 * Mentor engineers through design reviews, technical guidance, operational excellence, and long-term career development.
 * Participate in on-call rotations and lead investigation and resolution efforts for complex production incidents affecting critical platform services.


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