[Job-31837] Master Data Developer - Data Ops, Colombia
At a glance
Mid-level Data Engineering role at CI&T. Remote, Colombia.
Pay not stated Data Engineering salary
remoteroles summary, based on the employer's posting.
What you'll do
- Prepare lakehouse and cloud-warehouse environments so the platform is ready before and during development
- Build data CI/CD workflows with Git, environment promotion and automated reconciliation checks at each release
- Track pipeline and platform health, alerting on replication issues, warehouse refreshes, schema changes and unusual costs
- Manage platform cost attribution and keep architecture decisions and delivery records current with the Architect
- Write operations guides and transfer knowledge through paired sessions so the client team can run the platform
What you bring
- You have solid DataOps or platform-engineering experience supporting a live cloud data platform
- You have hands-on experience with Git-based data CI/CD, automated regression checks and promotion across environments
- You have monitored CDC replication and a cloud data warehouse; Snowflake experience is strongly preferred
- You can work fluently in English at B2 level or above
Who this fits
This role suits a mid-level data platform engineer who can take direct ownership of reliability and cost governance. It is remote in Colombia and calls for English communication across client and delivery teams.
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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