Director - Software Engineering

Accountabilities: The Director of Software Engineering will provide technical and organizational leadership across multiple engineering teams, ensuring that software development practices, architecture, and delivery remain aligned with business priorities. Key responsibilities include: Lead, mentor, and develop engineering managers, technical leads, and software engineers across multiple teams. Define and execute engineering strategies that align technology investments with product objectives and business goals. Provide technical direction for complex initiatives involving multiple engineering teams and technology domains. Participate in architecture, application design, data architecture, security, scalability, and engineering discussions. Collaborate with Product Management, Architecture, Data Engineering, Security, and business stakeholders to establish technical priorities and delivery roadmaps. Guide technical decisions while balancing scalability, maintainability, performance, security, cost efficiency, and speed to market. Establish meaningful engineering metrics to improve delivery predictability, software quality, team effectiveness, and operational performance. Lead teams within an Agile/Scrum development environment, promoting effective sprint planning, backlog refinement, estimation, daily collaboration, retrospectives, and continuous improvement. Partner with Product leaders and Product Owners to align product priorities, technical requirements, engineering capacity, and delivery commitments. Strengthen accountability around delivery commitments and definition-of-done standards while continuously improving development practices. Identify and remove organizational and technical obstacles that affect engineering productivity and delivery. Oversee the design and development of scalable enterprise and SaaS applications. Promote modern 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 technical standards, reusable patterns, and engineering best practices. Guide teams in managing technical debt while balancing immediate product needs with long-term platform sustainability. Ensure software solutions meet appropriate standards for availability, performance, scalability, security, and maintainability. Lead teams developing applications and services that integrate with Snowflake and modern cloud-based data platforms. Oversee the integration of application, data, API, and analytics architectures in partnership with Data Engineering and Analytics teams. Improve data accessibility, application integration, data quality, performance, and governance across technology solutions. Develop engineering capabilities around Snowflake, SQL, dbt, Azure Data Factory, APIs, and cloud-native services. Promote effective performance, security, access-control, and cost-management practices across cloud and data environments. Recruit, coach, and retain high-performing engineering professionals while building leadership capabilities across the organization. Establish clear expectations for technical quality, execution, collaboration, accountability, and professional development. Conduct regular performance and career development discussions, creating opportunities for employee growth. Foster a culture of technical excellence, innovation, ownership, transparency, collaboration, and continuous improvement. Design and evolve engineering team structures to support current business priorities and future organizational growth. Requirements The ideal candidate is an experienced technology leader with a strong background in enterprise software development, multi-team engineering management, and modern cloud and data architectures. Required qualifications include: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience. At least 10 years of progressive experience in software engineering or technology, including significant experience developing enterprise or SaaS applications. At least 5 years of engineering leadership experience, including responsibility for engineering managers and/or multiple software development teams. Demonstrated experience leading engineering teams in an Agile/Scrum software development environment. Experience overseeing the architecture, development, testing, deployment, and ongoing support of production software applications. Strong understanding of modern cloud-based software and data architectures. Experience leading teams responsible for developing applications or data solutions using Snowflake. Solid knowledge of APIs, databases, data integration, distributed systems, and modern application architectures. Experience with DevOps and CI/CD practices, including tools such as Azure DevOps or Jira and Git-based source control. Ability to translate business requirements into technical strategies, roadmaps, and actionable execution plans. Proven ability to lead complex initiatives involving multiple engineering teams and business stakeholders. Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Preferred qualifications include: Experience with Microsoft Azure and services 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 or data integration architectures. Experience leading engineering organizations in healthcare technology, healthcare revenue cycle, finance, analytics, or other highly regulated industries. Background developing and scaling enterprise-grade cloud-based SaaS products. Understanding of healthcare security, privacy, interoperability, and compliance requirements, including HIPAA and healthcare data standards. Benefits The original job description does not specify a salary range or detailed employee benefits package. Opportunity to lead multiple engineering teams and influence enterprise technology strategy. Exposure to modern cloud, SaaS, and data platforms, including Snowflake and Microsoft Azure. Opportunity to shape engineering culture, technical standards, and organizational growth.