Trella Health is hiring a
Data Architect

Summary

Join Trella Health's Data Science and Engineering team as a highly skilled Data Architect to design, implement, and maintain the enterprise data architecture. The ideal candidate will collaborate closely with data scientists, engineers, and business stakeholders to bring designs to life.

Requirements

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. A Master’s degree is preferred
• Experience: Minimum of 7 years of experience in data architecture, data engineering, or a related role
• Technical Skills
• Proficiency in data modeling, database design, and data warehousing concepts
• Refactoring strategy to improve maintainability, scalability, dependency management of large database script repositories
• Experience with data integration tools and ETL processes
• Strong knowledge of SQL and Python
• Strong knowledge with cloud platforms, especially Snowflake, and related cost management. Databricks is nice-to-have
• Expertise in big data architectures, including data lakes, lakehouses, and machine learning architectures
• Proficiency in integrating business intelligence tools like PowerBI and Tableau into the overall data architecture
• Understanding of data governance and data QA practices
• Knowledge of medical claims data, including Medicare FFS, Commercial, Medicaid, and Medicare Advantage, with an understanding of data ontology and taxonomy
• Experience working with medical coding systems (ICD10, CPT, HCPCS, MS DRG, NPPES, NPI, etc.)
• Analytical Skills: Strong analytical and problem-solving skills with a focus on data-driven decision-making
• Communication Skills: Excellent verbal and written communication skills with the ability to convey complex technical concepts to non-technical stakeholders
• Teamwork: Proven ability to work effectively in a team-oriented, collaborative environment

Responsibilities

• Design, implement, and maintain the enterprise data architecture
• Data Integration: Design and implement data integration processes to consolidate data from multiple sources into a unified and accessible data platform
• Data Modeling: Create and maintain conceptual, logical, and physical data models that support data warehousing, data lakes, and operational databases
• Data Governance: Establish and enforce data governance policies, standards, and procedures to ensure data quality, security, and compliance
• Technology Evaluation: Evaluate, recommend, and implement data management tools and technologies to enhance data architecture and performance
• Collaboration: Work closely with data scientists, engineers, and business stakeholders to understand data requirements and translate them into effective, executable data solutions
• Performance Optimization: Identify and resolve data performance issues, ensuring optimal performance and scalability of data systems
• Documentation: Document data architecture, data flows, and technical specifications to provide a clear understanding of data systems and processes
• Innovation: Stay abreast of industry trends and best practices in data architecture and data management to drive continuous improvement and innovation

Benefits

• Health, Dental, Vision & Voluntary Benefits
• Competitive Salary & Bonus Plans
• 401k Retirement Savings
• Unlimited PTO & 10 Paid Holidays
• Flexible Work Hours
• Equity Shares
• Paid Leave Programs
• Marketplace for discounted retail and entertainment