Master DataOps Engineer: Cloud Data Platform & Cost

OpenKrill; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

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.

Job summary

CI&T is seeking a Master DataOps Engineer to own the operational backbone for a large-scale Finance data platform modernization in the United States. You will manage environments, CI/CD, monitoring, and cost governance to ensure reliability and cost-efficiency from day one.

Responsibilities include provisioning, building a robust CI/CD for data transformations, monitoring CDC pipelines, and delivering runbooks.

Qualifications

• Production cloud data platform experience in DataOps or platform engineering.
• Hands-on CI/CD for data pipelines with Git workflows and multi-env promotion.
• Experience monitoring a CDC replication pipeline and Snowflake.
• Owns platform reliability and cost governance.
• Fluent English (B2+) required.

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, 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.

Skills

DataOps

CI/CD for data pipelines

Snowflake

Platform reliability

English (B2+)

Tools

Microsoft Fabric

OneLake

Qlik Replicate

Job description

CI&T is seeking a Master DataOps Engineer to own the operational backbone for a large-scale Finance data platform modernization in the United States. You will manage environments, CI/CD, monitoring, and cost governance to ensure reliability and cost-efficiency from day one.

Responsibilities include provisioning, building a robust CI/CD for data transformations, monitoring CDC pipelines, and delivering runbooks.