Lead Data Engineer

Innovien is seeking a Lead Data Engineer to help drive the standardization and modernization of its enterprise data platform as the organization continues to scale its analytics capabilities. This role combines hands-on technical architecture with leadership responsibilities — approximately 60% focused on designing and building scalable data platform architecture, and 40% focused on guiding engineering standards, mentoring team members, 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 while ensuring data infrastructure is governed, scalable, and aligned with long-term analytics and business objectives.

Requirements

• 10+ years of hands-on experience in data engineering, data warehousing, and Azure cloud data platforms using Python, SQL, and ETL packages for BI Applications.
• 5+ years' experience driving projects to delivery, and providing technical oversight, code reviews, and architectural guidance.
• 5+ years of experience architecting Azure-based data platforms using Synapse or Microsoft Fabric.
• Proven experience partnering with stakeholders to gather business requirements and effectively communicate technical concepts to technical and non-technical audiences.
• Ability to translate business requirements into clear technical specifications and scalable data solutions that support reporting, analytics, and operational needs.

Nice to Have

• Experience supporting healthcare data reporting, regulatory reporting, or provider performance analytics within a large health system environment.
• Experience with data modeling concepts.

Responsibilities

• Lead design of advanced data warehouses, data lakes, and hybrid architectures.
• Drive adoption of best practices in automation, DevOps, and CI/CD for data systems.
• Evaluate and implement emerging technologies (AI/ML integration, advanced analytics).
• Partner with executives and stakeholders to align data infrastructure with business strategy.
• Design and develop complex data pipelines within Azure-based data platforms.
• Serve as a subject matter expert and mentor across the organization.
• Guide cloud resource planning, cost optimization, and capacity management.
• Troubleshoot higher-level cloud issues and coordinate with vendors or internal teams.
• Collaborate with DevOps, Security, and Product teams on cloud roadmaps.
• Define enterprise-level data architecture and infrastructure strategy.