Master Data Developer - Data Ops, Colombia

CI&T; Colombia; On-site; COP 120,000,000 - 160,000,000; Full time

Benefits offered by this job

Maternity and Parental leaves

Mobile services subsidy

Sick pay-Life insurance

CI&T University

Colombian Holidays

Paid Vacations

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, and monitoring to ensure reliability and cost governance from day one.

You will lead provisioning, data pipelines, and platform cost attribution while documenting architecture decisions and runbooks for a smooth handoff to the client's operations team.

Qualifications

• Solid DataOps/platform engineering experience for a production cloud data platform.
• Hands-on CI/CD for data pipelines with promotion across environments.
• Snowflake monitoring, including CDC replication pipelines.
• Experience with financial/FP&A or mortgage data environments.
• Ownership of reliability and cost governance as a named responsibility.
• Fluent English (B2+) for cross‑team coordination.

Responsibilities

• Own environment provisioning and platform readiness across lakehouse and cloud-warehouse layers.
• Build and operate the CI/CD pipeline for metric definitions and transformation logic; manage promotion across dev/test/UAT/production.
• Implement monitoring and alerting across the pipeline for lag, schema changes, and cost anomalies.
• Own platform cost attribution and consumption monitoring across warehouses and compute.
• Maintain architecture decision records and runbooks; hand over to client's operations team.
• Support knowledge transfer through paired sessions during build, not a single handoff.

Skills

DataOps

Platform engineering

CI/CD for data

Snowflake

Financial data experience

Cloud data platform

English fluent

Tools

Qlik Replicate

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.
• 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.

Our benefits include:

• - 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.