Database Architect 3 - 25-34415
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
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