Healthcare Cloud Database Architect; Austin TX

Respond by: 12/18/2025

Rate: DOE

Type: Contract

Work Mode: Hybrid

Location: Austin TX

Please respond with resume and 3 references preferably supervisor (name, title, company, email, phone number)

Background Check will be performed if a candidate is selected for placement and will have to be passed

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.

The Senior Data Architect & Analytics Lead will play a pivotal role in advancing the data infrastructure and analytics initiatives for the HHSC team. This position is designed for a seasoned professional with in-depth expertise in data design and advanced analytics.

• Design and implement robust data structures to support analytics projects.
• Develop comprehensive database and table designs for optimized data storage and retrieval.
• Utilize advanced analytics tools and techniques to extract actionable insights that facilitate decision‑making.
• Collaborate with cross‑functional teams to ensure alignment of data strategies with organizational goals.
• Provide thought leadership on data modeling and analytics best practices.
• Leverage experience as a Data Architect or similar role to guide design decisions.

• 10+ years required experience in data architecture, data modeling, and data warehousing on‑prem and cloud technologies.
• 10+ years required experience with business intelligence and big data solutions.
• 10+ years required experience with healthcare data standards such as FHIR, CCDA, and HL‑7.
• 10+ years required proven experience in leading and managing advanced analytics projects.
• 10+ years required experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• 10+ years required experience developing, deploying, and managing applications and data storage on these platforms.
• 10+ years required strong knowledge of data architecture principles and best practices.
• 10+ years required proficiency in SQL and other database technologies.
• 10+ years required knowledge of advanced analytics tools and strategies.
• 10+ years required strong communication skills and ability to explain complex technical concepts to non‑technical audiences.
• 10+ years required ability to lead teams and manage complex projects.
• 10+ years required proficiency in cloud infrastructure management, including security and best practices for deploying applications in the cloud.
• 10+ years required development and maintenance of enterprise data models, data warehouses, and data lakes for analytics and reporting.
• 10+ years required evaluation and integration of emerging technologies such as AI, machine learning, and big data analytics in healthcare.
• 10+ years required work closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.
• 10+ years required experience with ETL tools, data integration platforms, and APIs.
• 10+ years required experience with EHR integration, APIs, and real‑time streaming.
• 10+ years required experience architecting and designing ETL pipelines using Informatica tools.
• 10+ years required design and modeling of data for cloud‑based data architecture solutions using Snowflake.
• 10+ years preferred experience implementing and deploying big data applications.
• 8+ years preferred hands‑on expertise in Python and/or…