The Reference Tables Access team owns the UI, MCP, APIs, and control plane that customers use to bring external data into Datadog. Reference Tables lets them use their own reference data to enrich and filter observability data without leaving the platform. The team also owns the table identity, metadata, permissions, quotas, validation, and lifecycle services behind these experiences.
Beyond the current product, the team is developing a consistent tabular abstraction that product teams can use without needing to manage the details of the underlying storage systems. This abstraction supports use cases from log enrichment and security to emerging analytical workflows built on Datadog’s internal Data Lake (ADP Lakehouse).
We’re looking for a hands-on technical leader to guide the team’s roadmap and develop these capabilities into a reliable platform. This role will shape how Datadog teams manage and build product experiences on top of tabular data.
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, LinkedIn, and Datadog Learning Center.
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