About this role
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
About Us:
At CI&T, our rapid growth is fueled by the innovative solutions we create for our global clients. We are seeking a Master DataOps Engineer to own the operational backbone — environments, CI/CD, and monitoring — for a large-scale Finance data platform modernization at a major US mortgage lender, so the platform being built is reliable and cost-governed from day one, not bolted on at the end.
Responsibilities:
• Own environment provisioning and platform readiness across the lakehouse and cloud-warehouse layers, ahead of and during the build. • Build and operate the CI/CD pipeline for metric definitions and transformation logic: Git-based version control, promotion across dev/test/UAT/production, automated regression on reconciliation suites at every promotion. • Implement monitoring and alerting across the pipeline: replication lag and failure alerts, lakehouse landing-zone health (including schema-change events), warehouse refresh state, lag breaches, and cost/consumption anomalies. • Own platform cost attribution and consumption monitoring across warehouses and compute. • Maintain architecture decision records and other living delivery artifacts alongside the Architect. • Write and hand over the operational runbooks — replication failure/recovery, reconciliation triage, metric-definition change process, cost-anomaly response — the client's own operations team will run post-handoff. • Support progressive knowledge transfer through the build via paired working sessions, rather than a single end-of-project handoff.
Requirements:
• Solid experience with DataOps/platform engineering roles supporting a production cloud data platform. • Strong hands-on experience with CI/CD for data pipelines: Git-based workflows, automated testing/regression gates, promotion across multiple environments. • Experience monitoring and alerting on a CDC replication pipeline and a cloud data warehouse (Snowflake experience strongly preferred). • Comfortable owning platform reliability and cost governance as a named responsibility, not a shared or ambient one. • Fluent English (B2+) — this is the named point of contact for platform operations across client and delivery teams.
Nice to Have:
• Experience with Microsoft Fabric/OneLake operational concerns (capacity, landing-zone health). • Experience writing production runbooks and leading knowledge transfer to a client operations team. • Experience with Qlik Replicate specifically. • Experience in mortgage, lending, or financial-services environments with strict change-control discipline.
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