At SCA Health, we offer a comprehensive benefits package to support your health, well-being, and financial future. Our offerings include medical, dental, and vision coverage, 401k plan with company match, paid time off, life and disability insurance, and more. Please visit, https://careers.sca.health/why-sca, to learn more about our benefits.
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Responsibilities
Lead Data Developer
SCA Health – Information Technology (IT) – Enterprise Application Services – Data Services
Position Summary
The Lead Data Developer is a senior individual contributor (IC) and technical leader responsible for designing, delivering, and evolving enterprise data platforms and solutions that support clinical, operational, and financial outcomes across SCA Health.
This role is not a formal people management position. The individual will act as a technical owner and delivery lead, working in partnership with resource managers to align and coordinate assigned technical resources. The role requires the ability to direct technical work, influence priorities, and drive outcomes across distributed teams (including offshore resources) without formal authority.
The Lead Data Developer operates across a hybrid ecosystem of legacy and cloud-based technologies and plays a critical role in advancing SCA Health’s cloud-first and AI-enabled data strategy.
Key Responsibilities
Technical Ownership & Delivery Execution
Serve as technical owner for assigned initiatives, accountable for architecture, design quality, delivery outcomes, and long-term maintainability
Lead and coordinate design, development, testing, deployment, and support of data solutions
Partner with resource managers to align staffing, skillsets, and priorities to delivery needs
Direct technical execution across assigned team members, ensuring alignment to standards and timelines
Drive delivery with limited information, clarifying requirements and resolving ambiguity proactively
Provide accurate estimates and deliver solutions with high reliability and accountability
Data Architecture & Cloud Transformation
Design and implement scalable hybrid and cloud-first data architectures
Lead or contribute to phased transformation of on-premises data platforms to cloud-based solutions
Partner with Enterprise Architecture to define solution strategies aligned to business and technology roadmaps
Promote reusable engineering patterns and framework-driven development practices
Balance legacy system support with modernization initiatives
Data Engineering & Platform Development
Architect and develop enterprise data pipelines and platforms
Build and maintain solutions using
Microsoft Azure data ecosystem (ADF, Synapse, Azure SQL, Databricks)
Snowflake, Airflow, dbt
SQL Server (T-SQL, SSIS)
Ensure high standards for performance, scalability, reliability, and observability
Implement monitoring, logging, and operational readiness capabilities
AI/ML Integration & Data Innovation
Design and implement AI/ML-enabled data capabilities within pipelines and data products
Identify and deploy use cases involving automation, predictive analytics, or intelligent workflows
Collaborate with stakeholders to align AI/ML initiatives to measurable business value
Ensure AI-enabled solutions are production-ready, scalable, and maintainable
Governance, Security & Compliance
Ensure compliance with HIPAA and enterprise data security and governance standards
Implement appropriate access controls, encryption, and auditability for PHI/PII data
Participate in governance processes including code reviews, change management, and release management
Utilize ServiceNow for incident, request, and operational management
Collaboration & Stakeholder Engagement
Partner with business stakeholders to understand requirements and prioritize delivery
Collaborate with Enterprise Architects, Product Owners, and cross-functional teams
Facilitate technical design discussions and solution alignment sessions
Communicate technical concepts clearly across both technical and non-technical audiences
Mentorship & Team Enablement
Mentor and guide junior and mid-level data developers
Promote best practices in coding, architecture, and documentation
Support a culture of accountability, collaboration, and continuous improvement
Full Product Lifecycle Participation
Participate across the full lifecycle
Ideation
Design and development
Deployment and release
Production support and optimization
Decommissioning
Maintain clear, current technical and operational documentation
Ensure solutions are supportable and aligned with long-term platform strategy
Qualifications
Required Qualifications
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
8+ years of experience in data engineering, data platform development, or related disciplines
Proven experience serving as a technical lead or technical owner for complex initiatives
Demonstrated ability to lead cross-functional teams without formal authority
Proven experience delivering large-scale data integration and transformation solutions
Demonstrated application of an AI-first mindset, incorporating AI/ML capabilities into data platform design, engineering practices, and solution delivery.
Required Technical Experience
Microsoft data and cloud technology stack (Azure, SQL Server ecosystem)
Snowflake, Airflow, and dbt
ETL/ELT design and development across complex data environments
Data modeling (relational and dimensional)
CI/CD and DevOps practices (Azure DevOps, GitHub Enterprise)
Required Specialized Experience
Hands-on experience implementing AI/ML capabilities in data platforms or products
Proven experience supporting or leading cloud transformation initiatives (on-prem to cloud)
Experience implementing data security controls for PHI/PII in regulated environments (HIPAA or equivalent)
Preferred Qualifications
Healthcare data domain experience (clinical, operational, or financial)
Experience with Azure Synapse, Databricks, or similar advanced platforms
Experience with Kubernetes or containerized environments
Experience with ServiceNow integrations
Relevant Microsoft or cloud/data certifications
Required Competencies
Strong analytical and problem-solving skills
Excellent verbal and written communication skills
Ability to operate effectively in a remote and distributed team environment
Proven ability to manage competing priorities and deliver outcomes
Strong collaboration and stakeholder engagement skills
Behavioral Expectations
Demonstrates accountability, professionalism, and integrity
Leads with a solution-oriented and optimistic mindset
Challenges constructively and supports organizational decisions once made
Communicates clearly and adapts to audience needs
Mentors others and contributes to team success
Works independently while maintaining alignment with broader team goals
Work Environment
Remote or hybrid work environment
Collaboration across onshore and offshore teams
Participation in an on-call or support rotation as needed
Equal Opportunity Statement
- SCA Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
- USD $130,000.00/Yr. USD $150,000.00/Yr.
Lead Data Developer
SCA Health – Information Technology (IT) – Enterprise Application Services – Data Services
Position Summary
The Lead Data Developer is a senior individual contributor (IC) and technical leader responsible for designing, delivering, and evolving enterprise data platforms and solutions that support clinical, operational, and financial outcomes across SCA Health.
This role is not a formal people management position. The individual will act as a technical owner and delivery lead, working in partnership with resource managers to align and coordinate assigned technical resources. The role requires the ability to direct technical work, influence priorities, and drive outcomes across distributed teams (including offshore resources) without formal authority.
The Lead Data Developer operates across a hybrid ecosystem of legacy and cloud-based technologies and plays a critical role in advancing SCA Health’s cloud-first and AI-enabled data strategy.
Key Responsibilities
Technical Ownership & Delivery Execution
Serve as technical owner for assigned initiatives, accountable for architecture, design quality, delivery outcomes, and long-term maintainability
Lead and coordinate design, development, testing, deployment, and support of data solutions
Partner with resource managers to align staffing, skillsets, and priorities to delivery needs
Direct technical execution across assigned team members, ensuring alignment to standards and timelines
Drive delivery with limited information, clarifying requirements and resolving ambiguity proactively
Provide accurate estimates and deliver solutions with high reliability and accountability
Data Architecture & Cloud Transformation
Design and implement scalable hybrid and cloud-first data architectures
Lead or contribute to phased transformation of on-premises data platforms to cloud-based solutions
Partner with Enterprise Architecture to define solution strategies aligned to business and technology roadmaps
Promote reusable engineering patterns and framework-driven development practices
Balance legacy system support with modernization initiatives
Data Engineering & Platform Development
Architect and develop enterprise data pipelines and platforms
Build and maintain solutions using
Microsoft Azure data ecosystem (ADF, Synapse, Azure SQL, Databricks)
Snowflake, Airflow, dbt
SQL Server (T-SQL, SSIS)
Ensure high standards for performance, scalability, reliability, and observability
Implement monitoring, logging, and operational readiness capabilities
AI/ML Integration & Data Innovation
Design and implement AI/ML-enabled data capabilities within pipelines and data products
Identify and deploy use cases involving automation, predictive analytics, or intelligent workflows
Collaborate with stakeholders to align AI/ML initiatives to measurable business value
Ensure AI-enabled solutions are production-ready, scalable, and maintainable
Governance, Security & Compliance
Ensure compliance with HIPAA and enterprise data security and governance standards
Implement appropriate access controls, encryption, and auditability for PHI/PII data
Participate in governance processes including code reviews, change management, and release management
Utilize ServiceNow for incident, request, and operational management
Collaboration & Stakeholder Engagement
Partner with business stakeholders to understand requirements and prioritize delivery
Collaborate with Enterprise Architects, Product Owners, and cross-functional teams
Facilitate technical design discussions and solution alignment sessions
Communicate technical concepts clearly across both technical and non-technical audiences
Mentorship & Team Enablement
Mentor and guide junior and mid-level data developers
Promote best practices in coding, architecture, and documentation
Support a culture of accountability, collaboration, and continuous improvement
Full Product Lifecycle Participation
Participate across the full lifecycle
Ideation
Design and development
Deployment and release
Production support and optimization
Decommissioning
Maintain clear, current technical and operational documentation
Ensure solutions are supportable and aligned with long-term platform strategy
Required Qualifications
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
8+ years of experience in data engineering, data platform development, or related disciplines
Proven experience serving as a technical lead or technical owner for complex initiatives
Demonstrated ability to lead cross-functional teams without formal authority
Proven experience delivering large-scale data integration and transformation solutions
Demonstrated application of an AI-first mindset, incorporating AI/ML capabilities into data platform design, engineering practices, and solution delivery.
Required Technical Experience
Microsoft data and cloud technology stack (Azure, SQL Server ecosystem)
Snowflake, Airflow, and dbt
ETL/ELT design and development across complex data environments
Data modeling (relational and dimensional)
CI/CD and DevOps practices (Azure DevOps, GitHub Enterprise)
Required Specialized Experience
Hands-on experience implementing AI/ML capabilities in data platforms or products
Proven experience supporting or leading cloud transformation initiatives (on-prem to cloud)
Experience implementing data security controls for PHI/PII in regulated environments (HIPAA or equivalent)
Preferred Qualifications
Healthcare data domain experience (clinical, operational, or financial)
Experience with Azure Synapse, Databricks, or similar advanced platforms
Experience with Kubernetes or containerized environments
Experience with ServiceNow integrations
Relevant Microsoft or cloud/data certifications
Required Competencies
Strong analytical and problem-solving skills
Excellent verbal and written communication skills
Ability to operate effectively in a remote and distributed team environment
Proven ability to manage competing priorities and deliver outcomes
Strong collaboration and stakeholder engagement skills
Behavioral Expectations
Demonstrates accountability, professionalism, and integrity
Leads with a solution-oriented and optimistic mindset
Challenges constructively and supports organizational decisions once made
Communicates clearly and adapts to audience needs
Mentors others and contributes to team success
Works independently while maintaining alignment with broader team goals
Work Environment
Remote or hybrid work environment
Collaboration across onshore and offshore teams
Participation in an on-call or support rotation as needed
Equal Opportunity Statement
SCA Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
