Overview Data Engineering & Analytics Lead-Information Technology Location: 620 Foster Ave, Brooklyn, NY 11230 Hours: Full Time 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. ‍ Time Commitment: · 40 hours per week (Monday – Friday) · Exempt from over-time · Hybrid Eligible ‍ ‍ Responsibilities: 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. ‍ Requirements: · 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. ‍ Compensation: · Salary commensurate with experience, $180,000-$220,000 annualized ‍ ‍ Benefits: · Paid Time Off, Medical, Dental and Vision plans, Retirement plans · Public Service Loan Forgiveness (PSLF) ‍