Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. The Manager of Data Engineering will oversee a team to deliver quality applications and manage complex data sets, ensuring compliance with regulations and standards.
Responsibilities:
- Works as a positive team member of a project that may consist of Business Analysts, Project Managers, Information Architects, Data Analysts, and/or Database Administrators to deliver quality applications and components within scope, on time, within budget, and ensures compliance
- Manages workload effectively and report status of tasks in a timely manner
- Is able to guide stakeholders on solutions and support structure
- Ensures proper governance of prioritizing work from partners
- Forms tactical strategies to support initiatives across the team and University
- Leads and proactively identifies emerging technologies; develops proof-of-concepts, and promotes the usage of these emerging technologies
- Leads highly complex technical teams. Follows standard operational procedures and HIPAA regulations
- Mentors other analysts on regulation adherence
- Develops/modifies standard operating procedures
- Engages with compliance and IRB for guidance when necessary
- Develops strategies for managing complex data sets through maintaining data standards and metadata
- Generates standard templates for architecture documentation related to current and proposed informatic solutions
- Performs other related duties as required
Requirements:
- A bachelor's degree in a related field and seven years of related experience, OR an equivalent combination of education, training, and experience
- Experience with cloud data warehouse platforms (Snowflake preferred) and workflow orchestration tools (Apache Airflow or equivalent)
- Experience with data transformation frameworks (dbt or similar) and modern data engineering practices
- Experience designing and implementing role-based access control (RBAC) systems in multi-user research or healthcare environments
- Experience working with healthcare data standards (OMOP, FHIR, or HL7) and electronic health record systems (Epic preferred)
- Experience with both hands-on technical implementation and team leadership or mentoring
- Familiarity with multimodal research data including imaging, genomics, and clinical data integration
- Experience designing data pipelines for research object ingest, metadata tagging, and controlled data sharing workflows
- Familiarity with research data management practices, IRB requirements, and HIPAA compliance in academic settings
- Experience with AWS cloud services and infrastructure-as-code practices
- Ability to balance strategic architectural decisions with hands-on implementation
- Strong stakeholder management skills working with researchers and technical partners
- Ability to establish data quality standards, governance frameworks, and best practices
- Experience managing competing priorities and high volumes of complex data requests