• Design, develop, and maintain scalable data solutions using Microsoft Fabric • Build and manage data ingestion and transformation pipelines using Fabric Pipelines and Dataflows Gen2 • Develop ETL/ELT processes using PySpark, Spark SQL, and SQL • Implement and support Lakehouse and Data Warehouse solutions • Design and maintain medallion architecture (Bronze/Silver/Gold layers) • Create and optimize semantic models for Microsoft Power BI reporting and analytics • Support Direct Lake and other Fabric analytical capabilities • Monitor production jobs, troubleshoot failures, and perform root cause analysis

• Designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system • Building scalable data pipelines, transformation and enrichment processes • Provisioning layers and intuitive user interfaces aligned with strategic initiatives • Mentoring junior Data Engineers • Contributing to the research and adoption of emerging technologies • Collaborating with Product, Platform, and Architecture teams

• End-to-End Pipeline Engineering: Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into our Snowflake Data Cloud. • Cloud Infrastructure: Manage and optimize data flows within an AWS environment (S3, Lambda, IAM), ensuring high availability, security, and cost-efficiency. • High-Scale Processing: Leverage Databricks and Python (PySpark) to handle complex data transformations and high-volume workloads. • Implement the Semantic Layer: Collaborate with the team to define, implement, and scale our Semantic Layer (via dbt Semantic Layer, MetricFlow, or similar) to standardize business logic, metrics, and dimensions for all downstream consumers. • Model for Truth: Use dbt to build modular, version-controlled, and tested data models that serve as the definitive foundation for business intelligence. • Data Governance & Quality: Implement automated testing and monitoring to ensure the integrity and reliability of finished data marts.

• Contribute to architectural vision for Fortrea’s data architecture, data integration and master data management strategies. • Design and implement core ETL workflows for Fortrea’s information integration and reporting infrastructure. • Participate in the design and development of high-performing, scalable and maintainable data repositories for analytic purposes. • Participate in the full development cycle from product inception, research and prototyping to release in production. • Measurably impact company performance by delivering high quality, scalable data products. • Supervise external resources. • All other duties as needed or assigned.