Master DataOps Engineer: Cloud Data Platform & CI/CD

CI&T; Colombia; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Maternity and Parental leaves

Mobile services subsidy

Sick pay-Life insurance

CI&T University

Colombian Holidays

Paid Vacations

Descripción de la vacante

CI&T seeks a Master DataOps Engineer to own the operational backbone of a large cloud data platform modernization. You will manage environments, CI/CD, and monitoring to ensure reliability and cost control from day one.

You will build and operate CI/CD pipelines for data transformations, monitor CDC replication and Snowflake deployments, and hand over thorough runbooks to the client operations team while guiding knowledge transfer throughout the build.

Formación

• 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).
• Nice to Have: Experience writing production runbooks and leading knowledge transfer to a client operations team.
• Nice to Have: Experience with Qlik Replicate specifically.
• Nice to Have: Experience in mortgage, lending, or financial-services environments with strict change-control discipline.

Responsabilidades

• 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.

Conocimientos

DataOps

Platform Engineering

CI/CD for Data Pipelines

Snowflake

Cloud Data Warehouse Monitoring

Cost Governance

English Proficiency

Herramientas

Git

Snowflake

Qlik Replicate

Descripción del empleo

CI&T seeks a Master DataOps Engineer to own the operational backbone of a large cloud data platform modernization. You will manage environments, CI/CD, and monitoring to ensure reliability and cost control from day one.

You will build and operate CI/CD pipelines for data transformations, monitor CDC replication and Snowflake deployments, and hand over thorough runbooks to the client operations team while guiding knowledge transfer throughout the build.