Key Responsibilities

Database Design & Development

• Design, develop, and maintain complex SQL Server databases supporting enterprise healthcare applications.
• Create and optimize database schemas, tables, indexes, views, stored procedures, functions, and triggers.
• Develop scalable data models supporting patient, provider, care management, clinical, and operational workflows.
• Ensure database structures support evolving business and regulatory requirements.

Performance Optimization

• Analyze and resolve database performance bottlenecks.
• Optimize complex T-SQL queries and stored procedures.
• Design indexing strategies to improve application response times.
• Perform execution plan analysis and SQL code optimization.
• Monitor database performance and proactively identify areas for improvement.
• Support high-volume transactional workloads while maintaining performance SLAs.

Scalability & Capacity Planning

• Assess current database limitations and recommend scalability improvements.
• Design solutions capable of supporting increased user concurrency and transaction volumes.
• Implement partitioning, archiving, caching, and data lifecycle strategies.
• Optimize database architecture for future platform growth and new feature rollouts.
• Collaborate with Technical Architects to define long-term database modernization strategies.

Healthcare Data & Integrations

• Support healthcare interoperability initiatives using FHIR standards.
• Develop and optimize ETL processes for healthcare data exchange.
• Design database structures supporting FHIR resources and healthcare integrations.
• Work with API and integration teams to ensure efficient data access patterns.
• Ensure compliance with healthcare data governance and security requirements.

Reporting & Analytics

• Design and optimize reporting databases and operational data stores.
• Develop SQL-based reporting solutions and data extracts.
• Support Power BI and enterprise reporting initiatives.
• Create scalable reporting mechanisms that minimize application performance impact.

Data Security & Compliance

• Implement database security best practices.
• Manage data access controls and encryption strategies.
• Ensure compliance with HIPAA and healthcare data privacy regulations.
• Participate in audits and compliance reviews.

Requirements

Required Qualifications

Experience

• 8+ years of SQL Server development experience.
• 5+ years working on enterprise-scale applications.
• Experience supporting systems with high transaction volumes and large datasets.
• Proven track record of database performance tuning and optimization.
• Experience working closely with application development teams.
• Microsoft SQL Server 2016/2019/2022
• T-SQL Programming
• Stored Procedures
• Views
• Triggers
• Functions
• Query Optimization
• Index Tuning
• Database Performance Monitoring
• Performance & Scalability
• Execution Plan Analysis
• Database Partitioning
• Index Strategy Design
• Locking and Blocking Analysis
• Deadlock Resolution
• Capacity Planning
• High Availability and Disaster Recovery
• Development & Integration
• SQL Server Integration Services (SSIS)
• ETL Development
• REST API Data Integrations
• Data Migration Strategies
• CI/CD for Database Deployments
• SQL Reporting Services (SSRS)
• Power BI
• Operational Reporting
• Data Warehousing Concepts

Preferred Qualifications

• Healthcare industry experience.
• Knowledge of HL7 and FHIR standards.
• Experience with Electronic Health Record (EHR/EMR) platforms.
• Expertise in Azure SQL and cloud database architectures.
• Experience supporting care management, population health, or patient engagement platforms.
• Familiarity with Azure Data Factory and modern data platform technologies.

Key Deliverables

• During the first 90 days, the successful candidate will:
• Complete a database health and performance assessment.
• Identify and resolve critical performance bottlenecks.
• Optimize high-impact stored procedures and queries.
• Establish database monitoring and performance baselines.
• Create a database scalability roadmap.
• Implement indexing and data access optimization strategies.
• Support new healthcare integration and reporting initiatives.
• Improve data quality and reliability across the platform.

Success Metrics

• Reduction in database response times.
• Improved application performance and user experience.
• Increased concurrent user capacity.
• Reduction in production database incidents.
• Faster reporting and analytics execution.
• Improved scalability to support future platform growth.
• High data quality, security, and system reliability.