Master DataOps Developer (Cloud Data Platform)

Location: Colombia; remote

Company

CI&T delivers AI deployment, data and technology transformation, application modernization, and integrated business solutions for large enterprises.

What you will do

• Provision and maintain environments across lakehouse and cloud data warehouse layers.
• Build and operate Git-based CI/CD pipelines for metric definitions and transformation logic across development, test, UAT, and production.
• Implement monitoring and alerting for CDC replication, landing-zone health, schema changes, warehouse refreshes, lag breaches, and cost anomalies.
• Own platform cost attribution and consumption monitoring across warehouse and compute resources.
• Maintain architecture decision records and operational delivery documentation.
• Write runbooks and support paired knowledge-transfer sessions for the client operations team.

Requirements

• Experience in DataOps or platform engineering roles supporting a production cloud data platform.
• Hands-on experience with CI/CD for data pipelines, Git-based workflows, automated testing, regression gates, and multi-environment promotion.
• Experience monitoring and alerting on CDC replication pipelines and cloud data warehouses.
• Experience owning platform reliability and cost governance.
• Fluent English at B2+ level is required for communication with client and delivery teams.

Nice to have

• Microsoft Fabric and OneLake operational experience, including capacity and landing-zone health.
• Experience writing production runbooks and leading client knowledge transfer.
• Experience with Qlik Replicate.
• Experience in mortgage, lending, or financial-services environments with strict change-control practices.

Culture & Benefits

• Remote home-office work from Colombia.
• Collaboration with international teams across more than 25 countries.
• Progressive knowledge transfer throughout the delivery rather than a single final handoff.