[Job-31837] Master DataOps Developer, Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 10d ago
The date the source published, not the day we noticed it (2026-09-22). Last seen at its source just now.
We have tracked this listing since 22 Sep 2026 (10 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $90k–136.5k/yr
Middle 50% of 28 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 10d ago · last seen just now
The listing
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.
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