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Data Engineering & Analytics Lead

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Premium Health

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Location:
United States, Brooklyn

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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's degree in Computer Science, Engineering, or a related field. Master's degree preferred
  • 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
  • Hands-on 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
  • Experience with data visualization and analytics tools (e.g.,Tableau, Power BI) and statistical analysis tools (e.g., R, Python)
  • Demonstrated leadership and team management skills, with the ability to guide and mentor data engineers and analysts and foster technical excellence
  • Excellent analytical, problem-solving, and debugging skills, with a keen attention to detail
  • Strong communication and stakeholder management skills, with the ability to effectively convey complex technical concepts to non-technical audiences
  • Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively
  • Results oriented self-starter with strong initiative, ownership mentality, and the ability to manage commitments and deadlines independently
What we offer:
  • Paid Time Off, Medical, Dental and Vision plans, Retirement plans
  • Public Service Loan Forgiveness (PSLF)

Additional Information:

Job Posted:
December 11, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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