Master DataOps Developer
Core
Building and operating data platform foundations for a large-scale finance data modernization initiative, ensuring pipelines and warehouses are reliable, observable, and production-ready.
Role type
Master DataOps Developer (Platform Engineering)
Builds
Cloud data infrastructure, data pipelines, and warehouse environments for finance clients
Domain
Finance / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
DataOps, platform engineering, CI/CD pipeline design, Git-based version control, automated testing, cloud data warehouse operations, CDC replication monitoring, cost governance, operational runbook creation, knowledge transfer
Preferred skills
Snowflake, Microsoft Fabric, OneLake, Qlik Replicate, regulated financial services environment experience
Technologies
Snowflake, Microsoft Fabric, OneLake, Qlik Replicate, Git, Cloud Data Warehouses
Responsibilities
Own environment provisioning and platform readiness across lakehouse and cloud data warehouse layers; Build and operate CI/CD pipelines for metric definitions and transformation logic; Implement comprehensive monitoring and alerting for data platform operations; Monitor and manage platform reliability across data pipelines, storage, compute, and warehouse environments; Own platform cost attribution and consumption monitoring; Maintain architecture decision records and living technical delivery artifacts; Develop and maintain production-ready operational runbooks; Support the transition of operational knowledge to the client's internal operations team
Seniority
Senior, hands-on IC
