Manager of Data Engineering & Architecture - Hybrid / Remote

Surgery Partners CareersNashville, TN
Hybrid

About The Position

This role involves leading and developing a team of data and architectural engineers, providing architectural direction for the enterprise data warehouse and data lake, and ensuring alignment with healthcare data standards and regulatory requirements. The position requires designing and optimizing scalable data pipelines, guiding the integration of data from various healthcare sources, and ensuring solutions are built for scalability, reliability, and cost efficiency. The Manager will partner with clinical, operational, analytics, and IT teams to deliver data and insights, oversee strategic data initiatives, and promote Agile development practices. Additionally, the role involves establishing and enforcing data governance, privacy, security, and quality standards, ensuring compliant handling of healthcare data, and supporting data stewardship. The position also requires staying current with industry trends, identifying opportunities for modernization, and contributing to the long-term data and analytics strategy.

Requirements

  • Bachelor’s or master’s degree in computer science, Computer Engineering, Information Systems, or a related field (or equivalent experience)
  • 5+ years of experience in data engineering, automation or related technical roles
  • 3+ years of experience in leadership or people management capacity
  • Strong background in SQL, data modeling, and ETL/ELT development
  • Hands-on experience with Azure Databricks, including: Building Spark-based data pipelines, Managing cluster performance and cost optimization, Integrating with Azure Data Factory and Azure Data Lake Storage
  • Deep understanding of Azure cloud architecture and healthcare-specific data challenges
  • Proven ability to design and architect data and analytics solutions across project, product, and program levels

Nice To Haves

  • Familiarity with healthcare data formats and standards such as HL7, FHIR, and claims data
  • Experience with BI and analytics tools such as Power BI, Tableau, or Sigma
  • Strong communication skills with the ability to collaborate effectively across technical and non-technical stakeholders
  • Experience operating in regulated environments with a focus on security, privacy, and compliance

Responsibilities

  • Lead, mentor, and develop a team of data, architectural engineers across onshore and offshore resources
  • Support workforce planning, hiring, onboarding, coaching, and performance management
  • Foster a culture of accountability, continuous improvement, and technical excellence
  • Provide architectural direction for the enterprise data warehouse and data lake, ensuring alignment with healthcare data standards and regulatory requirements (e.g., HIPAA)
  • Design and optimize scalable, secure data pipelines using Azure Databricks, Apache Spark, and Azure-native data services
  • Guide integration of data from multiple healthcare sources, including EMRs, claims systems, and patient portals
  • Ensure solutions are designed for scalability, reliability, cost efficiency, and long-term maintainability
  • Partner with clinical, operational, analytics, and IT teams to deliver trusted, self-service data and insights
  • Oversee strategic data initiatives and projects, ensuring alignment with business priorities and organizational goals
  • Promote and institutionalize Agile and iterative development practices within the data engineering organization
  • Establish and enforce data governance, privacy, security, and quality standards across platforms and pipelines
  • Ensure compliant handling of healthcare data, including PHI, in accordance with HIPAA and internal policies
  • Support data stewardship, documentation, and auditability across the data ecosystem
  • Stay current with industry trends in data engineering, process automation, cloud platforms, DataOps, and MLOps
  • Identify opportunities to modernize tooling, architecture, and delivery practices to improve outcomes and efficiency
  • Contribute to long-term data and analytics strategy and roadmap development

Benefits

  • Comprehensive health, dental, and vision insurance
  • Health Savings Account with an employer contribution
  • Life Insurance
  • PTO
  • 401(k) retirement plan with a company match
  • And more!
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