Lead Data Engineer

E-IT is focused on delivering innovative products that empower patients to make critical healthcare decisions. The Lead Data Engineer will architect and develop data solutions and engineering pipelines to enhance patient care and improve operational efficiencies.

Responsibilities:

• Design, develop, and deploy high-quality software solutions that meet business requirements
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture
• Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
• Design and develop data products for reusability and help with data mart standardization
• Plan, design, analyze, build, maintain, test and enhance software systems of both new and existing products/modules
• Collaborate in technical vision and development of a foundation, framework or capability of the team
• Independently, build architecture for simple to moderate systems. Understand architecture for moderate to complex systems and build in collaboration with other architects
• Understand end-to-end architecture for complex systems. Guides data architecture to teams across the organization
• Design and implement robust data models to support Commercial Operations reporting and analytics needs
• Build and maintain commercial, revenue data models that integrate data from CRM, ERP, Marketing, and other operational systems
• Develop, test, and optimize dbt models to ensure data consistency, quality, and reusability
• Partner with Data Engineering teams to enhance data pipelines and improve data quality in Snowflake

Requirements:

• A Bachelor's degree in a quantitative/technical field (e.g., Computer Science, Engineering)
• 10+ yrs exp industry experience and 2+ yrs Experience with Snowflake (On AWS, GCP, or Azure)
• 5+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components, and reporting/analytic tools
• 5+ years of experience in scripting languages like Python etc
• Experience working with large-scale relational databases, cloud platforms (AWS, Google Cloud), and unstructured data
• Experience architecting cloud data warehouses is a plus
• Experience in leading and delivering complex end-to-end projects is a must
• Experience in Jira, GitHub is a must
• Must be familiar with Agile methodologies and be able to participate in scrums, sprint planning, sprint refinements, and retro