Senior Business Analytics Specialist
United States, Washington, Redmond
USD 106K-222K Senior-level Full Time
Tasks
- Accelerate AI native engineering adoption
- Build AI agents to automate data engineering tasks
- Build lakehouse warehouse and Direct Lake semantic models
- Collaborate with Fabric Product Group for platform validation
- Deliver self serve analytics through governed semantic models
- Design enterprise data pipelines data products platform services
- Drive observability and DataOps DevOps CI CD improvements
- Enable governed data products
- Enable secure downstream data consumption
- Engineer robust ELT ETL pipelines
- Ensure privacy security Responsible AI compliance
- Implement secure by design engineering practices
- Improve scalability reliability governance performance
- Investigate and resolve data quality performance and refresh issues
- Manage Fabric capacity and compute utilization
- Monitor troubleshoot and optimize production workloads
- Operate Microsoft Fabric data platform
- Optimize data models for enterprise reporting and BI
- Support governance lineage access control and auditing
- Translate business requirements into technical solutions
- Tune Spark and Delta workloads for scale
- Use agentic workflows for delivery testing documentation
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Apache Spark | Azure AI | Azure AI Foundry | Azure Data | Azure Data Factory | Azure DevOps | Azure OpenAI | CI/CD | DAX | Data Factory | Data Lineage | Data Quality | DataOps | Dataflows Gen2 | Delta Lake | DevOps | Direct Lake | Direct Query | Entra ID | Eventhouse | Eventstreams | GitHub | Import | Incremental refresh | KQL | Kusto Query | Kusto Query Language | Microsoft Entra | Microsoft Entra ID | Microsoft Fabric | Microsoft Purview | Observability | OneLake | Power BI | PySpark | Python | Query Language | RAG | RBAC | REST API | SQL | Semantic Modeling | Spark SQL | T-SQL | Vector Search | Vertipaq
Education
Regions
Countries
States
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