About the position
The Database Architect 3 / Senior Data Architect & Analytics Lead will play a critical role in designing, implementing, and optimizing enterprise-level data architecture and analytics solutions. This role requires deep expertise in relational databases, data warehousing, cloud platforms, and advanced analytics to support strategic decision-making and enterprise data initiatives. The ideal candidate will collaborate with cross-functional technical and business teams to design scalable, secure, and high-performing data solutions while ensuring compliance with enterprise data standards and accessibility requirements.
Responsibilities
• Design, develop, and maintain relational databases, data warehouses, and multidimensional databases
• Define strategies for data acquisition, archival, recovery, and implementation
• Clean and maintain databases by managing data retention and removing obsolete data
• Develop enterprise data standards to optimize organizational strategic goals
• Create and maintain centralized metadata repositories and data registries
• Design and implement robust data models and table structures to support analytics initiatives
• Utilize advanced analytics tools and techniques to deliver actionable insights
• Ensure all database administration interfaces, reports, and user-facing components comply with EIR accessibility standards and assistive technologies
• Lead and manage advanced analytics projects from design through implementation
• Collaborate with data engineers, developers, analysts, and stakeholders to ensure seamless data accessibility and usability
• Evaluate and integrate emerging technologies including AI, machine learning, and big data analytics
• Provide thought leadership on data architecture, modeling, and governance best practices
• Communicate complex technical concepts effectively to non-technical audiences
Requirements
• 10+ years of experience in data architecture, data modeling, and data warehousing (on-prem and cloud)
• 10+ years of experience with business intelligence and big data solutions
• 10+ years of experience leading and managing advanced analytics projects
• 10+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud Platform
• 10+ years of experience developing, deploying, and managing cloud-based applications and data storage
• Strong expertise in enterprise data architecture principles and best practices
• Advanced proficiency in SQL and database technologies
• Experience with advanced analytics tools, frameworks, and strategies
• Strong verbal and written communication skills with the ability to translate technical concepts to non-technical stakeholders
• Proven ability to lead teams and manage complex, multi-stream projects
• Experience with cloud infrastructure management, including security, deployment, and storage best practices
• Experience developing and maintaining enterprise data models, data warehouses, and data lakes
• Experience with ETL tools, data integration platforms, and APIs
• Experience architecting and designing ETL pipelines using Informatica
• Experience designing cloud-based data architecture using Snowflake as the primary data platform
• Experience with EHR integration, APIs, and real-time data streaming
• Familiarity with healthcare data standards such as FHIR, CCDA, and HL7
Nice-to-haves
• Experience implementing and deploying big data applications
• Hands-on expertise with Python and/or Java/Scala
• Experience with Enterprise Architecture practices and hybrid cloud/on-prem-to-cloud migration strategies
• Healthcare industry experience
• Strong understanding of information management principles, SDLC, and enterprise IT processes
• Consulting and facilitation skills
• Strong customer-focused communication across all organizational levels
• Proactive leadership style with strong attention to detail
• TOGAF or Cloud Solution Architecture certification (Azure, AWS, or GCP)
• Experience with Texas or other state eligibility systems
Apply Now
Apply Now