Master DataOps Engineer – Cloud Data Platform

Ciandt

United States

Remote

BRL 180,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Meal allowance
Childcare assistance
Well-being programs
Profit Sharing

Job summary

CI&T is seeking a Master DataOps Engineer to own the operational backbone of a large-scale Finance data platform modernization for a major US mortgage lender. You will manage environments, CI/CD, monitoring, and cost governance to ensure reliability and scalable operations from day one.

Role requires solid DataOps experience, strong CI/CD for data pipelines, and Snowflake expertise. Fluency in English (B2+) is essential as you liaise with client and delivery teams.

Qualifications

  • Solid experience in DataOps/platform engineering for a production cloud data platform.
  • Hands-on CI/CD for data pipelines with multiple environments.
  • Experience monitoring a CDC replication pipeline and cloud data warehouse (Snowflake preferred).

Responsibilities

  • Own environment provisioning and platform readiness across lakehouse and cloud-warehouse layers.
  • Build and operate the CI/CD pipeline for metric definitions and transformations.
  • Implement monitoring and alerting across the pipeline including cost/consumption anomalies.
  • Own platform cost attribution and consumption monitoring across warehouses and compute.
  • Maintain architecture decision records and hand over runbooks to client's operations team.
  • Support knowledge transfer through paired sessions during the build.

Skills

DataOps
CI/CD for data pipelines
Snowflake
Cloud fundamentals
Cost governance

Education

Bachelor's degree in CS or related field

Tools

Git-based workflows
CI/CD tooling

Job description

CI&T is seeking a Master DataOps Engineer to own the operational backbone of a large-scale Finance data platform modernization for a major US mortgage lender. You will manage environments, CI/CD, monitoring, and cost governance to ensure reliability and scalable operations from day one.

Role requires solid DataOps experience, strong CI/CD for data pipelines, and Snowflake expertise. Fluency in English (B2+) is essential as you liaise with client and delivery teams.

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