Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytics Lead to elevate our data capabilities, and build a scalable, modern data ecosystem that enables data-driven insights to enhance patientcare, optimize operations, and support strategic decision-making.
This role combines leadership with day-to-day engineering. The Data Engineering & Analytics Lead will design and implement our core data infrastructure, lead analytics initiatives, and collaborate with cross-functional teams to shape how data is used throughout the organization. The lead will serve as both a thought leader and a hands-on technical implementor, architecting our data environment, establishing data standards and governance, building pipelines and models, and developing analytics solutions, while growing and mentoring a small data function over time.
If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
· 40 hours per week (Monday – Friday)
· Exempt from over-time
· Hybrid Eligible
Data Strategy & Leadership
· Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap.
· Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization.
· Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor.
· Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization.
Data Architecture & Infrastructure
· Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices.
· Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases.
· Establish and enforce data architecture standards, governance models, naming conventions ,and documentation.
Data Engineering & Pipelines
· Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems.
· Implement robust data quality processes, validation, monitoring, and error-handling frameworks.
· Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications.
Analytics Enablement & Business Intelligence
· Partner with clinical, operational, and business leaders to understand data needs and translate them into scalable analytical models and datasets.
· Develop and maintain dashboards, performance metrics (KPIs), and reporting solutions to support strategic and operational decision-making.
· Enable self-service analytics by building curated, trusted data assets and collaborating with BI resources to expand organizational insight capabilities.
Data Governance, Security, and Compliance
· Lead the development and implementation of data governance and data quality processes to ensure data accuracy, consistency, and reliability.
· Ensure compliance with healthcare regulations and data protection standards (e.g.,HIPAA), embedding privacy and security controls into all data workflows.
· Collaborate with IT and security teams to implement appropriate access controls, encryption, row-level security, and secure credential management.
Cross Functional Collaboration
· Work closely with IT, clinical, finance, and operational teams to ensure seamless integration of data solutions with existing systems and applications.
· Translate complex technical concepts into clear, actionable insights for non-technical stakeholders.
· Foster data literacy and cultivate analytical skillsets across the organization to strengthen data-driven culture and decision making.
· Communicate insights and recommendations effectively to executive stakeholders, translating findings into actionable insights understandable by non-technical stakeholders.
Innovation & Continuous Improvement
· Evaluate emerging tools, technologies, and architectural patterns to identify opportunities for innovation and operational improvement.
· Continuously improve pipeline performance, data reliability, data modeling practices, and platform scalability.
· Stay current with trends in data engineering, analytics, cloud platforms, and healthcare technology.
· Bachelor'sdegree in Computer Science, Engineering, or a related field. Master's degreepreferred.
· Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles; healthcare experience preferred
· Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
· Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts.
· Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA).
· Understanding of healthcare data, including clinical, operational, and financial data models, preferred.
· Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning.
· Experience designing and integrating data from disparate systems into harmonized data models or semantic layers.
· Handson experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)
· Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Microsoft Fabric, Snowflake, Redshift, BigQuery).
· Experience with Microsoft’s data ecosystem including Azure Data Factory, Azure SQL, Azure Data Lake, Microsoft Fabric, and Purview is highly desirable.
· Strong understanding of data security principles, including access controls, encryption, credential handling, and secure pipeline development.
· Experiencewith data visualization and analytics tools (e.g.,Tableau, Power BI) andstatistical analysis tools (e.g., R, Python).
· Demonstratedleadership and team management skills, with the ability to guide and mentordata engineers and analysts and foster technical excellence.
· Excellentanalytical, problem-solving, and debugging skills, with a keen attention to detail.
· Strongcommunication and stakeholder management skills, with the ability toeffectively convey complex technical concepts to non-technical audiences.
· Abilityto work in a fast-paced, dynamic environment and manage multiple prioritieseffectively.
· Resultsoriented self-starter with strong initiative, ownership mentality, and theability to manage commitments and deadlines independently.
· Salary commensurate with experience, $180,000-$220,000 annualized
· Paid Time Off, Medical, Dental and Vision plans, Retirement plans
· Public Service Loan Forgiveness (PSLF)