Compu-Vision Consulting, Inc.
Job Title: Database Architect 3
Location:
Austin, TX Duration:
8 Months Work Arrangement:
Hybrid (2 days remote / 3 days onsite Monday, Wednesday, Thursday) Position Overview
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. Key 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
Required Skills & Experience
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
Preferred Qualifications
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 Google Cloud Platform)
Experience with Texas or other state eligibility systems
#J-18808-Ljbffr
Austin, TX Duration:
8 Months Work Arrangement:
Hybrid (2 days remote / 3 days onsite Monday, Wednesday, Thursday) Position Overview
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. Key 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
Required Skills & Experience
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
Preferred Qualifications
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 Google Cloud Platform)
Experience with Texas or other state eligibility systems
#J-18808-Ljbffr