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Master Data Developer - Data Ops, Colombia

At CI&T · Colombia

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Posted
16 hours ago
First seen by us
29 October 2026
Last checked
12 hours ago

Job description

From CI&T’s job post, as they wrote it.

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.

Read the full description

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.
• Hands-on experience with Snowflake, including monitoring and alerting on a CDC replication pipeline and the cloud data warehouse.
• Experience working with data in financial/accounting, FP&A or Mortgage environments.
• 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.
#LI-TO1

Our benefits include:

- Premium Healthcare
- Meal voucher
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay-Life insurance
- CI&T University
- Colombian Holidays
- Paid Vacations
And many others.

Collaboration is our superpower, diversity unites us, and excellence is our standard.
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

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