Senior Data Platform Engineer(Microsoft Fabric,MLOps)
Core
Build and operationalize Microsoft Fabric-first data and machine learning platforms for enterprise clients, focusing on governed environments, pipelines, CI/CD automation, and observability.
Role type
Senior IC platform engineer (MLOps & Data Platform)
Builds
Production-ready ML pipelines, governed data environments, and automated orchestration systems for client data science teams.
Domain
Enterprise Data & AI (Microsoft Fabric, Azure)
Deliverable
production ML models | infrastructure
Required skills
Microsoft Fabric (workspaces, OneLake, Lakehouse, Warehouse, RBAC), Python, SQL, CI/CD (Azure DevOps/GitHub Actions), Orchestration (Fabric Data Pipelines, ADF, Airflow), Data Quality Frameworks (Great Expectations, Soda), Azure Identity & Security (Entra ID, Service Principals, Managed Identities, Key Vault), Power BI consumption patterns, Model versioning & reproducibility.
Preferred skills
R (kernels, renv), Time-series forecasting, Experimentation platform patterns, Model drift detection, MLflow/Azure ML Registry, Generative AI platforms (RAG, LLM eval), Infrastructure as Code (Bicep, Terraform), Microsoft Fabric/Azure certifications.
Responsibilities
Build Microsoft Fabric workspace structures (Sandbox, Dev/Staging, Production) with RBAC patterns; Implement governed read access to enterprise data warehouses and controlled write-backs; Develop reusable batch prediction and forecasting pipeline templates; Implement CI/CD for notebooks and platform assets with automated testing; Configure orchestration and scheduling with DAG-style visibility; Implement data quality gates to block downstream execution; Configure unattended execution under managed identities; Establish versioning standards for code, environment, and data; Build monitoring and observability for compute, jobs, and model drift; Define package installation standards; Validate Power BI consumption patterns; Produce operational runbooks and handoff documentation.
Seniority
Senior, hands-on IC
