The Reference Tables Access team owns the UI, MCP, APIs, and control plane customers use to bring external data into Datadog. Reference Tables enable customers to enrich and filter observability data using their own reference data. The team also owns the services responsible for table identity, metadata, permissions, quotas, validation, and lifecycle. The team is developing a consistent tabular abstraction that product teams can use without managing underlying storage systems. It supports use cases including log enrichment, security, and emerging analytical workflows using Datadog’s internal Data Lake (ADP Lakehouse). The Manager I, Engineering is a hands-on technical leader who guides the team’s roadmap and develops these capabilities into a reliable platform, shaping how Datadog teams manage tabular data and build product experiences on top of it. Datadog operates as a hybrid workplace, valuing office culture, collaboration, creativity, and work-life harmony. The role includes leading engineers and supporting mission-critical infrastructure that requires high reliability and rapid incident response through a 24x7 on-call rotation.
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Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed