Location
Remote (Brazil)
Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 22, 2026. CI&T scores B on the Alion truth index.
Overview
Company
Impact
Profile match
CI&T is a Brazilian digital services company founded in Campinas in 1995 that builds software, data platforms and artificial intelligence systems for large enterprises. It works mainly with banks, retailers, consumer goods companies and healthcare providers in Brazil, the United States and Europe, taking on product engineering, cloud modernisation and experience design as long-running delivery engagements. The company listed on the New York Stock Exchange in 2021 and employs several thousand people across delivery centres in Latin America, North America, Europe and Asia.
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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