[Job-31837] Master Data Developer - DataOps, Brazil
At a glance
Mid-level Data Engineering role at CI&T. Remote, Brazil.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Prepare lakehouse and cloud-warehouse environments so the platform is ready as development progresses
- Build Git-based delivery pipelines for metric definitions and transformation logic, with testing and controlled promotion
- Track replication, landing-zone, warehouse-refresh and cost signals, then alert teams when issues arise
- Own platform consumption tracking and maintain architecture records with the Architect
- Write operational playbooks and transfer them to client operators through working sessions during the build
What you bring
- You have solid DataOps or platform-engineering experience supporting a production cloud data platform
- You have hands-on experience using Git, automated regression checks and multi-environment promotion for data pipelines
- You have monitored CDC replication and a cloud warehouse; Snowflake is strongly preferred
- You can take direct responsibility for reliability and cost governance, and communicate fluently in English at B2 level or above
Who this fits
This mid-level role suits someone comfortable owning day-to-day platform operations and working directly with client and delivery teams. It is remote in Brazil. The client operations team will take over the runbooks after handover, with knowledge transfer built into the project.
From the employer
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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