Software Architecture & Development

• Provide technical oversight for the design and development of scalable enterprise and SaaS applications.
• Champion modern software engineering practices, including automated testing, code reviews, source control, CI/CD, observability, DevOps, and secure software development.
• Partner with architects and senior engineers to establish engineering standards, reusable patterns, and technical best practices.
• Guide teams in addressing technical debt and balancing short-term product needs with long-term platform sustainability.
• Ensure solutions meet appropriate standards for availability, performance, scalability, security, and maintainability.

Cloud, Data & Snowflake

• Lead software engineering teams building applications and services that integrate with Snowflake and modern cloud-based data platforms.
• Provide leadership around the integration of application, data, API, and analytics architectures.
• Partner closely with Data Engineering and Analytics teams on data accessibility, application integration, data quality, performance, and governance.
• Develop teams capable of effectively working with modern data technologies such as Snowflake, SQL, dbt, Azure Data Factory, APIs, and cloud-native services.
• Understand the architectural considerations involved in building software applications that consume, process, and interact with large-scale cloud data platforms.
• Promote effective performance, security, access-control, and cost-management practices across cloud and data solutions.

People & Organizational Leadership

• Recruit, develop, coach, and retain high-performing engineering talent.
• Build leadership capability among engineering managers, technical leads, and senior individual contributors.
• Establish clear expectations and accountability for technical quality, execution, collaboration, and professional development.
• Conduct regular performance and development discussions and create opportunities for career growth.
• Foster a culture of technical excellence, innovation, collaboration, ownership, transparency, and continuous improvement.
• Help design engineering team structures that support current business priorities while positioning the organization for future growth.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience.
• 10+ years of progressive software engineering or technology experience, including significant experience developing enterprise or SaaS applications.
• 5+ years of engineering leadership experience, including responsibility for engineering managers and/or multiple software development teams.
• Demonstrated experience leading teams in an Agile/Scrum software development environment.
• Experience leading teams responsible for the architecture, development, testing, deployment, and support of production software applications.
• Experience with modern cloud-based software and data architectures.
• Experience leading teams developing applications or data solutions utilizing Snowflake.
• Strong understanding of APIs, databases, data integration, distributed systems, and modern application architectures.
• Experience with DevOps and CI/CD practices and tools such as Azure DevOps or Jira and Git-based source control.
• Demonstrated ability to translate business requirements into technical strategies and execution plans.
• Proven ability to lead complex initiatives involving multiple engineering teams and business stakeholders.
• Strong communication skills with the ability to communicate complex technical concepts effectively to both technical and non-technical audiences.

Preferred Qualifications:

• Experience with Microsoft Azure and technologies such as Azure Functions, Azure SQL Database, Azure Data Factory, API Management, Service Bus, or Azure Data Lake.
• Experience with Snowflake, dbt, SQL, Python, and modern data engineering/data integration architectures.
• Experience leading engineering organizations within healthcare technology, healthcare revenue cycle, finance, analytics, or other highly regulated environments.
• Experience developing cloud-based SaaS products at enterprise scale.
• Understanding of healthcare security, privacy, interoperability, or compliance requirements, including HIPAA and healthcare data standards.