Senior Cloud Data Engineer

About the role

The 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.

Responsibilities

• Lead the design and implementation of scalable, secure, and HIPAA-compliant data solutions utilizing Microsoft Fabric, Azure, SQL Server, and related cloud technologies
• Serve as a senior technical advisor within the Data & Analytics team
• Work 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
• Combine hands-on engineering responsibilities with technical leadership, mentoring, architectural oversight, and enterprise data strategy

Qualifications

• Bachelor'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)
• 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

Preferred qualifications

• Experience with Microsoft Fabric, Azure Synapse, Azure Data Lake, OneLake, Data Pipelines, Lakehouse, and Warehouse architectures
• Experience with SQL Server administration, performance optimization, indexing strategies, backup/recovery processes, and security administration
• Experience with Snowflake, Databricks, or other cloud data warehouse technologies
• Microsoft Fabric Certification, Azure Data Engineer Associate, Snowflake SnowPro Certification, and/or Power BI Certification

Requirements

• Epic Clarity, Cogito, and Caboodle proficiency, accreditation, certification, or ability to obtain certification within six (6) months of hire is required

Benefits

• "Share the success" bonuses
• Insurance premiums 100% paid by ICHS
• Paid time off accrual up to 200 hours annually with up to 320 hours rollover year to year
• Automatic 4% retirement contribution
• 9 paid holidays a year, including 2 personal holidays
• Reimbursement for professional licensure