NAC is seeking an experienced Data Engineer to design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric. The role focuses on delivering scalable data pipelines and data products that support analytics, reporting, and digital transformation across the firm. The ideal candidate will work with a modern data stack, automate data pipelines, and deliver reliable, self maintaining data solutions in an enterprise environment. Day to day work includes ingesting data from business systems into a governed lakehouse and tuning datasets and models used by reporting, with an emphasis on solutions that require minimal ongoing attention. The position reports to the Data Leader and collaborates with IT leadership, the data team, and resources supporting data architecture and governance. Responsibilities include Data Pipeline Development and Integration using Azure Data Factory, Synapse Analytics, and Databricks; ETL and ELT processes; ingestion patterns from various sources; scheduling and orchestration; and error handling. Microsoft Fabric and Analytics Platform: implement and support Fabric solutions such as dataflows, lakehouses, data warehouses, and real time analytics; organize data in OneLake with raw, enriched, and curated layers; develop curated datasets and semantic models for Power BI; monitor capacity and performance. Data Modeling and Optimization: optimize architectures for performance, reliability, and cost; apply dimensional modeling; write and tune SQL and Python or PySpark notebooks. Data Quality, Security and Governance: ensure high quality, secur

NAC is seeking an experienced Data Engineer to design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric. The role focuses on delivering scalable data pipelines and data products that support analytics, reporting, and digital transformation across the firm. The ideal candidate will work with a modern data stack, automate data pipelines, and deliver reliable, self maintaining data solutions in an enterprise environment. Day to day work includes ingesting data from business systems into a governed lakehouse and tuning datasets and models used by reporting, with an emphasis on solutions that require minimal ongoing attention. The position reports to the Data Leader and collaborates with IT leadership, the data team, and resources supporting data architecture and governance. Responsibilities include Data Pipeline Development and Integration using Azure Data Factory, Synapse Analytics, and Databricks; ETL and ELT processes; ingestion patterns from various sources; scheduling and orchestration; and error handling. Microsoft Fabric and Analytics Platform: implement and support Fabric solutions such as dataflows, lakehouses, data warehouses, and real time analytics; organize data in OneLake with raw, enriched, and curated layers; develop curated datasets and semantic models for Power BI; monitor capacity and performance. Data Modeling and Optimization: optimize architectures for performance, reliability, and cost; apply dimensional modeling; write and tune SQL and Python or PySpark notebooks. Data Quality, Security and Governance: ensure high quality, secur