Master DataOps Developer, Colombia

Logoslabs

San Francisco (CA)

On-site

USD 140,000 - 195,000

Full time

8 days ago

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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 at a major US mortgage lender. You will manage environments, CI/CD for data pipelines, and monitoring to ensure reliability and cost governance from day one.

You will lead knowledge transfer, write runbooks, and collaborate with architects and client operations teams to deliver a robust, scalable data platform.

Qualifications

  • Solid experience in DataOps/platform engineering for production cloud data platforms.
  • Hands-on CI/CD for data pipelines with Git-based workflows and tests.
  • Experience monitoring a CDC replication pipeline and a cloud data warehouse (Snowflake preferred).
  • Ownership of platform reliability and cost governance responsibilities.
  • Fluent English (B2+) for cross-team communications.

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; promote across environments.
  • Implement monitoring and alerting for replication lag, schema-change events, and cost anomalies.
  • Own platform cost attribution and consumption monitoring across warehouses and compute.
  • Maintain architecture decision records and delivery artifacts with the Architect.
  • Write and hand over runbooks for replication/recovery and cost anomaly response.
  • Support knowledge transfer through paired sessions during the build.

Skills

DataOps
CI/CD for data
CDC monitoring
Platform reliability
English fluency

Tools

Snowflake
Qlik Replicate
Microsoft Fabric/OneLake

Job description

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.

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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