DataOps Engineer

About the role

We're seeking an Senior DataOps Engineer II who can act as the hands‑on owner for Monolith's data observability and operational surface: from batch and streaming pipelines running on our platform, through to the lineage, quality, and runbooks that keep customer environments healthy. You'll define and roll out DataOps practices (CI/CD, infra‑as‑code, data SLOs, incident response) across the Monolith estate, implement end‑to‑end data lineage and observability, and serve as the go‑to mentor for engineering teams and client‑facing colleagues on best‑practice data management. In this role, you will: Own Monolith's Data Observability & Operations Surface Design and implement the end‑to‑end observability stack for data workloads (metrics, logs, traces, and data‑quality signals) across batch and streaming pipelines. Define and maintain operational SLOs/SLAs for critical data flows powering training, inference, and analytics, and ensure they are measurable and actionable. Build dashboards, alerts, and runbooks that allow engineers and on‑call responders to quickly detect, triage, and remediate data incidents. Standardise "golden paths" for how teams instrument pipelines, expose health signals, and respond to data‑related failures. Implement Data Lineage, Quality & Governance Deploy and maintain end‑to‑end data lineage for key domains - from client sources through transformations to features, models, and downstream analytics so teams can debug, audit, and reason about change. Define and roll out data quality checks (schema, freshness, completeness, distribution, drift) and ensure failures integrate cleanly into alerting and incident workflows. Partner with Security, Compliance, and customer‑facing teams to encode data governance requirements (e.g., retention, residency, access controls) into our pipelines and tooling. Help shape metadata models and catalog conventions so that producers and consumers can reliably discover, understand, and use shared datasets. Enable DataOps Practices Across Teams Establish CI/CD patterns for data pipelines and related infrastructure, including testing strategies, promotion workflows, and change‑management guardrails. Drive adoption of infra‑as‑code for data infrastructure (e.g., pipeline orchestration, storage, observability components), reducing manual drift across environments. Define and continuously improve DataOps processes - incident response, post‑incident review, change review, on‑call rotations - with a focus on learning rather than blame. Evaluate and integrate best‑of‑breed DataOps and observability tooling where it accelerates our teams, balancing build vs. buy pragmatically. Partner Across Monolith, CoreWeave & Clients Work with Monolith platform, data, agent, and reliability teams to expose observability and lineage as shared services and patterns other engineers can build on. Collaborate with CoreWeave infrastructure and AI platform teams to leverage underlying storage, compute, netw

Benefits

Additional Information

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . We're proud to be a Living Wage accredited Employer.

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