Job SummaryThe Senior Cloud Data Engineer serves as the technical lead responsible for the architecture, development, governance, integration, and operational support of ICHS's enterprise data platform. This role provides expertise in modern cloud data engineering, data warehousing, data modeling, healthcare analytics, and enterprise integrations, with a primary focus on Epic Electronic Medical Record (EMR) data delivered through Clarity and Caboodle.
The Senior Cloud Data Engineer leads the design and implementation of scalable, secure, and HIPAAcompliant data solutions utilizing Microsoft Fabric, Azure, SQL Server, and related cloud technologies. The position serves as a senior technical advisor within the Data & Analytics team and works closely with clinical, operational, financial, and executive stakeholders to develop trusted data products, enterprise reporting solutions, and analytics capabilities that support ICHS's strategic initiatives.
This role combines hands-on engineering responsibilities with technical leadership, mentoring, architectural oversight, and enterprise data strategy.
EducationBachelor's degree in Computer Science, Data Engineering, Health Informatics, Information Systems, Software Engineering, or related field. Equivalent combination of education and relevant professional experience may substitute for degree requirements.
Experience- Five (5) years of progressively responsible experience in Data Engineering, Cloud Data Engineering, Data Warehousing, or Analytics Engineering.
- Demonstrated experience architecting and building enterprise-scale cloud data platforms.
- Advanced SQL development experience, including stored procedures, performance tuning, optimization, and database design.
- Experience building ETL/ELT solutions using Microsoft Fabric, Azure Data Factory, Spark, or equivalent modern cloud technologies.
- Experience designing dimensional models, star schemas, medallion architectures, semantic models, and enterprise reporting solutions.
- Experience developing and maintaining CI/CD pipelines, source control processes, and automated deployment methodologies.
- Experience with Microsoft Fabric, Azure Synapse, Azure Data Lake, OneLake, Data Pipelines, Lakehouse, and Warehouse architectures preferred.
- Experience with SQL Server administration, performance optimization, indexing strategies, backup/recovery processes, and security administration preferred.
- Experience with Snowflake, Databricks, or other cloud data warehouse technologies.
Other Requirement(s) - Epic Clarity, Cogito, and Caboodle proficiency, accreditation, certification, or ability to obtain certification within six (6) months of hire is required.
- Microsoft Fabric Certification, Azure Data Engineer Associate, Snowflake SnowPro Certification, and/or Power BI Certification are preferred.
