Senior Data Platform Engineer(Microsoft Fabric,MLOps)

Coretek is seeking a Senior Engineer, Machine Learning and Data to build and operationalize Microsoft Fabric-first data and machine learning platforms for enterprise clients. This is a platform engineering role, not a data science role. You will not be building, training, or tuning models. Client data science teams own the models. You build the governed environments, pipelines, CI/CD automation, data quality gates, and observability that let those models run in production on a schedule, reproducibly, and under monitoring. 

You will work as part of a distributed delivery team alongside US-based architects and project managers, implementing against an agreed architecture and owning significant technical workstreams end to end. Success in this role means the platform runs unattended, reproducibly, and under service identity, with clear runbooks that let the client operate it after handoff. 

This is a full time seat on Coretek's Data and AI practice rather than a placement against a single project. Machine learning platform delivery is the focus, and between those engagements you will work across broader Microsoft Fabric and Azure data platform projects. We are hiring for a long career track, and we expect the mix of work to shift further toward generative AI platform delivery over time. 

Requirements 

Key Responsibilities 

• Build Microsoft Fabric workspace structures spanning Sandbox, Dev/Staging, and Production, incl