Database Architect/Management IV

Overview:

This senior-level individual contributor will lead the design and implementation of enterprise data solutions focused on healthcare revenue cycle analytics. The role requires deep expertise in data warehouse architecture, including dimensional modeling and star schema design, to support scalable, high-performance reporting and analytics. The candidate will be responsible for developing and optimizing data pipelines, data models, and curated datasets within cloud-based platforms, with a strong preference for experience in Azure Databricks and modern lakehouse architectures. This role will partner closely with business and technology stakeholders to translate complex healthcare workflows and revenue cycle processes into structured, reusable data assets that enable standardized reporting and advanced analytics.

The ideal candidate will bring 5+ years of experience in data architecture and engineering, with demonstrated expertise in Epic and Clarity data models and healthcare revenue cycle domains (e.g., AR, billing, collections). Strong experience in Power BI development is required, particularly in semantic model design, data governance, and enterprise reporting standards. This role will also drive best practices in data quality, governance, and performance optimization, ensuring consistency and reliability across reporting solutions. The individual will play a key role in establishing scalable data frameworks, mentoring team members, and influencing enterprise data strategy to support long-term analytics maturity.

Job Summary:

This individual contributor is primarily responsible for driving strategic data-informed decisions, ensuring data and resources are available to users in an orderly and secure way through data provisioning and ongoing security, and analyzing and developing database designs, data models, and relational data definitions in support of systems requirements. This position provides ongoing database support, maintenance, and troubleshooting, informs and influences the data strategy, and develops, implements, and automates business and reporting solutions.

Essential Responsibilities:

• Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.
• Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.
• Provides ongoing database support, maintenance, and troubleshooting by identifying and fixing problems; locating and correcting oversights; ensuring the database meets expectations; identifying trends in the database users; ensuring optimized database performance; recommending new ways to improve the existing database; and scheduling times for upgrades and repairs for minimal impact to the company.
• Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; developing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
• Informs and influences the data strategy by establishing a means to identify and represent content; determining optimal data storage methodologies; ensuring data are packaged in a way to be reused and shared; developing and ensuring adherence to data rules and access guidelines; determining best strategy for combining data residing in disparate systems into a unified, consistent data view; and establishing, managing, and communicating information policies and mechanisms for effective data usage.
• Drives strategic data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.
• Analyzes and develops database designs, data models, and relational data definitions in support of systems requirements by preparing data for analytic efforts; assessing the current data infrastructure; identifying areas in need of change; determining how the database should look and function; scoping the database using the ETL Architecture Standards; developing code to create the database; creating database security standards; and testing and maintaining data integrity across multiple internal and/or external databases.
• Ensures data and resources are available to users in an orderly and secure way through data provisioning and ongoing security by translating business analytics needs into data access requirements; creating, preparing, and enabling systems to provide data to users; granting users access to data repositories or systems, applications, and databases based on a unique user identity; managing and monitoring data access on an ongoing basis; tracking and documenting version control; designing and generating tracking and monitoring tools; tracking and reporting on data access; and ensuring data provisioning efforts adhere to IT compliance standards, policies, and procedures.