Join our team as a Senior Data Architect & Analytics Lead with the Texas Health and Human Services Commission to design, develop, and optimize cloud-based data solutions supporting healthcare analytics. In this hybrid role, you’ll lead enterprise data architecture, build data warehouses and data lakes, and drive strategic initiatives leveraging advanced analytics, AI, and big data technologies. Collaborate across teams to ensure scalable, secure, and compliant data systems while aligning with healthcare standards like HL7 and FHIR. Ideal for professionals with 10+ years of experience in data architecture, cloud platforms, and ETL solutions such as Informatica and Snowflake.

 

Texas Health and Human Services Commission requires the services of 1 Database Architect 3, hereafter referred to as Candidate(s), who meets the general qualifications of Database Architect 3, Data/Database Administration and the specifications outlined in this document for the Texas Health and Human Services Commission.

All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Health and Human Services Commission  and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Health and Human Services Commission will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
 

Level Description

8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.

 

Job Description

Designs and builds relational databases. Develops strategies for data acquisitions, archive recovery, and implementation of a database. Cleans and maintains the database by removing and deleting old data. Must be able to design, develop and manipulate database management systems, data warehouses and multidimensional databases. Requires a depth and breadth of database knowledge that shall help with formal design of relational databases and provides insight into strategic data manipulation. Responsible for making sure an organization's strategic goals are optimized through the use of enterprise data standards. This frequently involves creating and maintaining a centralized registry of metadata. Has working knowledge of EIR Accessibility standards and assistive technologies. Ensures that all user interfaces for database administration and inputting, viewing, outputting data(via reports) are compliant with accessibility standards

 

Additional job details and special considerations

The Senior Data Architect & Analytics Lead will play a pivotal role in advancing the data infrastructure and analytics initiatives for the HHSC CDA team. This position is designed for a seasoned professional with in-depth expertise in data design and advanced analytics. Responsibilities include designing and implementing robust data structures to support analytics projects, developing comprehensive database and table designs for optimized data storage and retrieval, and utilizing advanced analytics tools and techniques to extract insights that facilitate decision-making. The successful candidate will collaborate with cross-functional teams to ensure alignment of data strategies with organizational goals and provide thought leadership on data modeling and analytics best practices. The ideal applicant will have proven experience as a Data Architect or similar role, with a strong understanding of data modeling, database design, and data governance principles, alongside familiarity with analytics tools and frameworks. Excellent communication and collaboration skills are essential for effectively working across teams. Join us to be part of a dynamic team dedicated to transforming healthcare through innovative data solutions, where your expertise will significantly contribute to the success of our initiatives at HHSC.

Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years	Required/Preferred	Experience
10	Required	Experience in data architecture, data modeling, and data warehousing.
10	Required	Experience with business intelligence and big data solutions.
10	Required	Experience with healthcare data standards like FHIR, CCDA, and HL-7 would be a plus.
10	Required	Proven experience in leading and managing advanced analytics projects.
10	Required	Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required.
10	Required	Experience in developing, deploying, and managing applications and data storage on these platforms.
10	Required	Strong knowledge of data architecture principles and best practices.
10	Required	Proficiency in SQL and other database technologies.
10	Required	Knowledge of advanced analytics tools and strategies.
10	Required	Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.
10	Required	Ability to lead teams and manage complex projects.
10	Required	Proficiency in cloud infrastructure management, including understanding of cloud-based data storage options, cloud security considerations, and best practices for deploying applications in the cloud.
10	Required	Develop and maintain enterprise data models, data warehouses, and data lakes to support analytics and reporting.
10	Required	Evaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare.
10	Required	Work closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.
10	Required Not Ready to Apply? Join our talent pool and we'll reach out when a job fits your skills.