#BeLimitless with Talent500
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Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
We are a progressive & innovative U.S. health-tech leader, delivering cloud-based solutions that improve clinical and financial performance across the care continuum. Our modern, open ecosystem connects care teams and delivers actionable insights that drive better outcomes. Acquired by Bain Capital in a $17B deal, we’re growing fast and investing in bold, strategic product innovations. We foster a values-driven culture focused on flexibility, collaboration, and work-life balance.
Headquartered in Boston, we have offices in Atlanta, Austin, Belfast, Burlington, and in India: Chennai, Bangalore, and Pune.
Position Summary: Our Product Analytics team is seeking a “Database Engineering Manager” in Chennai to help design and maintain our Analytics Data Warehouse (ADW), a single source of truth for data driven decision making and client-facing analytics. As a data modeler, you’ll work at the intersection of engineering, analytics, and product, translating complex healthcare and financial workflows into clean, extensible star schemas that power platforms like Insights, DataView, and Query Builder.
You’ll collaborate with analysts, product managers, data engineers, and other domain modelers to ensure that our models are trusted, performant, and reusable across teams.
Required Qualifications
8+ years of experience in data modeling, analytics engineering, or business intelligence in the Healthcare domain
Strong knowledge of dimensional modeling, especially star and snowflake schemas
Familiarity with data warehouse design principles, including performance optimization, grain definition, and extensibility
Proficiency in SQL (Snowflake experience preferred)
Excellent communication and collaboration skills, with the ability to work across technical and non-technical stakeholders
Key Responsibilities
Design dimensional data models (primarily star schemas) in Snowflake to support financial, clinical, and operational analytics use cases
Serve as a consultant and reviewer for projects that extend or introduce new facts and dimensions to the ADW
Ensure models align with ADW design standards for naming, grain, extensibility, and documentation
Partner with analytics and product teams to understand business requirements, define KPIs, and identify reusable data patterns
Define model boundaries and shared components to avoid redundancy and uphold data consistency
Help scale modeling operations by contributing to internal modeling guides, Confluence documentation, and tooling (e.g. semantic layers, metadata tracking)
Preferred Qualifications
Familiarity with semantic layers (e.g. snowflake or dbt Semantic Layer)
Exposure to data governance tools, metadata catalogs, or modeling design documentation
Comfortable navigating complex organizations and helping align disparate stakeholder needs into cohesive data designs
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