Lead Azure Data Engineer (JOB ID 002913)
Innovien Solutions
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Greater Philadelphia
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Mid-Senior level
Posted March 26, 2026
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Responsibilities
Responsibilities
- This role blends hands-on architecture and engineering with leadership responsibilities, with approximately 60% of the role focused on designing and building scalable data platform architecture and 40% focused on mentoring engineers, guiding standards, and influencing enterprise data strategy.
- The Lead Data Engineer will play a key role in advancing the organization’s transition from Azure Synapse to Microsoft Fabric, ensuring the enterprise data ecosystem remains scalable, governed, and aligned with long-term analytics and business objectives.
- This is an excellent opportunity for a senior data engineering professional who enjoys both technical leadership and hands-on platform development.
- Proven experience partnering with stakeholders to gather business requirements and communicate technical concepts to both technical and non-technical audiences
- Strong ability to translate business requirements into scalable data architectures and technical specifications that support enterprise reporting, analytics, and operational data needs PLUS SKILLS:
- Experience supporting healthcare data reporting, regulatory reporting, or provider performance analytics within a large health system environment
- Experience with data modeling methodologies and enterprise data architecture frameworks LEAD DATA ENGINEER RESPONSIBILITIES:
- Lead the design and architecture of advanced data warehouses, data lakes, and hybrid data platforms
- Design and develop complex data pipelines within Azure-based data environments, supporting enterprise analytics and reporting initiatives
- Drive adoption of automation, DevOps, and CI/CD best practices for data platform development and deployment
- Evaluate and implement emerging technologies including AI/ML integrations and advanced analytics capabilities
- Partner with executive leadership and stakeholders to align data infrastructure strategy with long-term business objectives
- Serve as a technical leader and mentor, guiding engineering teams on development standards, architectural patterns, and best practices
- Guide cloud resource planning, cost optimization, and capacity management across Azure data platforms
- Troubleshoot complex cloud and platform issues while coordinating with internal teams and external vendors
- Collaborate with DevOps, Security, and Product teams to support cloud roadmap initiatives and enterprise data strategy
- Define and evolve enterprise-level data architecture and infrastructure standards to support scalable analytics and governance
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Requirements
- LEAD DATA ENGINEER REQUIREMENTS:
- 10+ years of hands-on experience in data engineering, data warehousing, and Azure cloud data platforms, utilizing Python, SQL, and ETL tools to support BI and analytics applications
- 5+ years of experience leading projects through delivery while providing technical oversight, architectural guidance, and code reviews
- 5+ years of experience architecting Azure-based data platforms, including Synapse or Microsoft Fabric environments
- Proven experience partnering with stakeholders to gather business requirements and communicate technical concepts to both technical and non-technical audiences
- Strong ability to translate business requirements into scalable data architectures and technical specifications that support enterprise reporting, analytics, and operational data needs PLUS SKILLS:
- Experience supporting healthcare data reporting, regulatory reporting, or provider performance analytics within a large health system environment
- Experience with data modeling methodologies and enterprise data architecture frameworks LEAD DATA ENGINEER RESPONSIBILITIES:
- Lead the design and architecture of advanced data warehouses, data lakes, and hybrid data platforms
- Design and develop complex data pipelines within Azure-based data environments, supporting enterprise analytics and reporting initiatives
- Drive adoption of automation, DevOps, and CI/CD best practices for data platform development and deployment
- Evaluate and implement emerging technologies including AI/ML integrations and advanced analytics capabilities
- Partner with executive leadership and stakeholders to align data infrastructure strategy with long-term business objectives
- Serve as a technical leader and mentor, guiding engineering teams on development standards, architectural patterns, and best practices
- Guide cloud resource planning, cost optimization, and capacity management across Azure data platforms
- Troubleshoot complex cloud and platform issues while coordinating with internal teams and external vendors
- Define and evolve enterprise-level data architecture and infrastructure standards to support scalable analytics and governance
Preferred Skills
- This is an excellent opportunity for a senior data engineering professional who enjoys both technical leadership and hands-on platform development.
- Experience supporting healthcare data reporting, regulatory reporting, or provider performance analytics within a large health system environment
LEAD DATA ENGINEER – AZURE DATA PLATFORM Innovien Solutions is currently hiring a Lead Data Engineer – Azure Data Platform to support the modernization and standardization of an enterprise data platform within a growing organization expanding its analytics capabilities. This role blends hands-on architecture and engineering with leadership responsibilities, with approximately 60% of the role focused on designing and building scalable data platform architecture and 40% focused on mentoring engineers, guiding standards, and influencing enterprise data strategy. The Lead Data Engineer will play a key role in advancing the organization’s transition from Azure Synapse to Microsoft Fabric, ensuring the enterprise data ecosystem remains scalable, governed, and aligned with long-term analytics and business objectives. This is an excellent opportunity for a senior data engineering professional who enjoys both technical leadership and hands-on platform development. LEAD DATA ENGINEER REQUIREMENTS:
10+ years of hands-on experience in data engineering, data warehousing, and Azure cloud data platforms, utilizing Python, SQL, and ETL tools to support BI and analytics applications
5+ years of experience leading projects through delivery while providing technical oversight, architectural guidance, and code reviews
5+ years of experience architecting Azure-based data platforms, including Synapse or Microsoft Fabric environments
Proven experience partnering with stakeholders to gather business requirements and communicate technical concepts to both technical and non-technical audiences
Strong ability to translate business requirements into scalable data architectures and technical specifications that support enterprise reporting, analytics, and operational data needs PLUS SKILLS:
Experience supporting healthcare data reporting, regulatory reporting, or provider performance analytics within a large health system environment
Experience with data modeling methodologies and enterprise data architecture frameworks LEAD DATA ENGINEER RESPONSIBILITIES:
Lead the design and architecture of advanced data warehouses, data lakes, and hybrid data platforms
Design and develop complex data pipelines within Azure-based data environments, supporting enterprise analytics and reporting initiatives
Drive adoption of automation, DevOps, and CI/CD best practices for data platform development and deployment
Evaluate and implement emerging technologies including AI/ML integrations and advanced analytics capabilities
Partner with executive leadership and stakeholders to align data infrastructure strategy with long-term business objectives
Serve as a technical leader and mentor, guiding engineering teams on development standards, architectural patterns, and best practices
Guide cloud resource planning, cost optimization, and capacity management across Azure data platforms
Troubleshoot complex cloud and platform issues while coordinating with internal teams and external vendors
Collaborate with DevOps, Security, and Product teams to support cloud roadmap initiatives and enterprise data strategy
Define and evolve enterprise-level data architecture and infrastructure standards to support scalable analytics and governance
10+ years of hands-on experience in data engineering, data warehousing, and Azure cloud data platforms, utilizing Python, SQL, and ETL tools to support BI and analytics applications
5+ years of experience leading projects through delivery while providing technical oversight, architectural guidance, and code reviews
5+ years of experience architecting Azure-based data platforms, including Synapse or Microsoft Fabric environments
Proven experience partnering with stakeholders to gather business requirements and communicate technical concepts to both technical and non-technical audiences
Strong ability to translate business requirements into scalable data architectures and technical specifications that support enterprise reporting, analytics, and operational data needs PLUS SKILLS:
Experience supporting healthcare data reporting, regulatory reporting, or provider performance analytics within a large health system environment
Experience with data modeling methodologies and enterprise data architecture frameworks LEAD DATA ENGINEER RESPONSIBILITIES:
Lead the design and architecture of advanced data warehouses, data lakes, and hybrid data platforms
Design and develop complex data pipelines within Azure-based data environments, supporting enterprise analytics and reporting initiatives
Drive adoption of automation, DevOps, and CI/CD best practices for data platform development and deployment
Evaluate and implement emerging technologies including AI/ML integrations and advanced analytics capabilities
Partner with executive leadership and stakeholders to align data infrastructure strategy with long-term business objectives
Serve as a technical leader and mentor, guiding engineering teams on development standards, architectural patterns, and best practices
Guide cloud resource planning, cost optimization, and capacity management across Azure data platforms
Troubleshoot complex cloud and platform issues while coordinating with internal teams and external vendors
Collaborate with DevOps, Security, and Product teams to support cloud roadmap initiatives and enterprise data strategy
Define and evolve enterprise-level data architecture and infrastructure standards to support scalable analytics and governance