Senior Microsoft Fabric Data Engineer (8+)

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Early Applicant

Job Description

Key Responsibilities

Design and implement enterprise-scale Data Lake, Data Warehouse, and Medallion Architecture solutions.
Develop and manage ETL/ELT pipelines using Azure Data Factory (ADF), Fabric Data Factory, Databricks, dbt, and related technologies.
Build and optimize scalable data transformation frameworks using PySpark, Spark SQL, and Delta Lake.
Design curated Silver and Gold data models, fact/dimension schemas, and semantic layers for analytics and reporting.
Develop and optimize enterprise reporting solutions using Power BI, DAX, and Semantic Models.
Implement data governance, lineage, metadata management, and cataloging using Azure Purview or similar platforms.
Collaborate with business, analytics, and data science teams to deliver AI-ready governed datasets.
Perform performance tuning, query optimization, partitioning, and workload optimization across data platforms.
Support cloud data modernization, migration, and enterprise analytics initiatives.
Participate in architecture discussions, stakeholder communication, technical documentation, and knowledge transfer activities.

Required Skills & Expertise

Data Engineering & Big Data