Data Architecture & Engineering
- Architect and develop scalable Microsoft Fabric data solutions including OneLake, Lakehouses, Data Warehouses, and Real-Time Analytics.
- Design and implement robust medallion architecture (Bronze/Silver/Gold) for ingestion, transformation, and consumption.
- Build and optimize ETL/ELT pipelines using Data Factory in Fabric, Spark notebooks, Eventstreams, and Pipelines.
- Develop high-performance Dimensional/Star Schema and analytics-ready semantic models.
Analytics Engineering
- Build curated semantic models using Power BI in Fabric and DirectLake.
- Create reusable data marts, data transformations, DAX measures, and BI-ready data structures.
- Partner with Analysts and product teams to enable self‑service analytics at scale.
Data Quality, Governance & Operations
- Implement data quality rules, observability, and monitoring frameworks.
- Define and enforce governance standards including lineage, cataloging, access control, and security using Purview integration.
- Optimize storage, compute, and performance across Fabric workloads.
- Support CI/CD, DevOps, and deployment automation for Fabric artifacts.
Collaboration & Leadership
- Lead technical design sessions and mentor junior engineers.
- Work with stakeholders to translate business needs into scalable data solutions.
- Advocate best practices for cloud data engineering and Microsoft Fabric adoption.