Staff Software Engineer, Data Management

Staff-level impact in backend engineering. Track record of owning and delivering cross-team systems in distributed, microservices architectures, including high-throughput ingestion and caching. Strong backend proficiency. Expertise in one or more of: JavaScript/TypeScript/Node.js and/or Python. Production experience with AWS and infrastructure-as-code (e.g., Terraform, CDK). Operational ownership. Experience defining/measuring SLOs, building robust CI/CD pipelines, and applying observability and automated testing. Customer focus. Ability to translate customer and account team signals into technical strategy and sequenced delivery. Engineering principles in action. Excellent communication and alignment skills.

Drive business impact end-to-end. Own delivery of cross-team initiatives that measurably improve data quality, reliability, and developer velocity. Create clarity and shape strategy. Turn ambiguous problems into actionable plans; define technical direction, standards, and reusable tools. Uphold operational excellence. Define and raise SLOs for services that power the data management experience. Scale systems and performance. Lead efforts to improve throughput for ingestion and governance workflows, reduce latency, and harden critical paths. Build the foundations for trusted data. Evolve platform capabilities such as a shared data health evaluation framework and APIs, event/property observability, safe clean-up workflows, and metadata ingestion. Partner across functions. Work closely with Product, Design, and other engineering teams. Mentor and multiply. Raise the bar through design reviews, thoughtful code reviews, and coaching. Champion pragmatic delivery. Advocate for iterative milestones, canary/flagged rollouts, and data-driven experimentation.