Director, Software Engineering
Position Summary
The Director of Software Engineering is responsible for leading multiple software engineering teams in the design, development, delivery, and ongoing evolution of scalable, secure, and high-performing enterprise software solutions.
This role combines people leadership, technical depth, Agile execution, and strategic thinking. The Director will lead and develop engineering managers and software engineers while partnering closely with Product, Architecture, Data Engineering, Security, and business leaders to translate business priorities into effective technical solutions.
The ideal candidate has experience leading engineering organizations in an Agile/Scrum environment and a strong understanding of modern cloud-based application and data architectures. Experience leading teams that develop solutions utilizing Snowflake, cloud technologies, APIs, data integration, and modern software engineering practices is highly desirable.
Key Responsibilities
Engineering Leadership & Strategy
- Lead, develop, and mentor engineering managers, technical leads, and software engineers across multiple teams.
- Establish and execute engineering strategies that align technology investments with product and business objectives.
- Provide technical leadership across complex initiatives spanning multiple engineering teams and technology domains.
- Maintain sufficient technical depth to effectively participate in architecture, application design, data architecture, security, scalability, and engineering discussions.
- Partner with Product Management, Architecture, Data Engineering, Security, and business stakeholders to define technical priorities and delivery roadmaps.
- Drive technical decision-making while balancing scalability, maintainability, performance, security, cost, and speed to market.
- Establish meaningful engineering metrics and use them to improve delivery predictability, software quality, team effectiveness, and operational performance.
Agile Software Development
- Lead engineering teams operating within an Agile/Scrum product development environment.
- Promote effective Agile practices, including sprint planning, refinement, estimation, daily collaboration, retrospectives, and continuous improvement.
- Partner with Product leaders and Product Owners to maintain alignment between product priorities, technical requirements, engineering capacity, and delivery commitments.
- Create accountability around commitments and the definition of done while encouraging teams to continuously improve development practices.
- Identify and remove organizational or technical barriers that impact engineering velocity and delivery.
- Use Agile and engineering metrics to identify trends, improve predictability, and support data-driven decision-making.
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.
