Master DataOps Developer, Brazil

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.

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.

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.