Define and execute the long-term strategy for interoperability and enterprise data platforms
Lead and develop multiple engineering leaders and teams
Establish enterprise database and data architecture standards
Modernize and optimize SQL Server environments for performance, scalability, and high availability
Oversee implementation of Snowflake and Databricks lakehouse models
Enable near real-time analytics and scalable data processing
Advance FHIR-based API strategy and healthcare interoperability capabilities
Partner with executive stakeholders on investment decisions and roadmap sequencing
Drive operational rigor, compliance, security, and system reliability
Sponsor innovation, including AI-enabled development workflows
Requirements
12+ years of progressive technology experience, including 5+ years in senior engineering leadership roles
Bachelor’s degree in computer science, engineering, or related field or equivalent experience
Proven experience architecting and modernizing enterprise data platforms and API ecosystems
Experience of leading managers and multiple engineering teams (manager-of-managers experience required)
Deep expertise in relational database systems and enterprise data architecture
Background in Microsoft SQL Server, including performance tuning, indexing strategies, query optimization, high availability, and large-scale data environments
Extensive experience with SQL and advanced data modeling principles
Experience modernizing enterprise data warehouses and migrating to cloud-based platforms
Experience supporting near real-time or high-volume data processing systems
Familiarity with healthcare interoperability standards, particularly FHIR, HL7, etc.
Experience with C#/.NET and RESTful API environments
Familiarity with Kafka, containerized hosting, and modern DevOps ecosystems
Experience operating in regulated or compliance-driven environments preferred
Strong executive communication and organizational leadership skills