Director - Software Engineering

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.