Overview
Hybrid
$70 - $75
Contract - W2
Contract - Independent
Contract - 6 Month(s)
Skills
SQL
Scala
Python
Machine Learning (ML)
Google Cloud Platform
Pivotal
Informatica
Usability
Data Modeling
Data Storage
Data Structure
Data Warehouse
Data Architecture
Data Governance
Cloud Computing
Database
Communication
Big Data
Amazon Web Services
Accessibility
Advanced Analytics
Cloud Architecture
Health Care
Microsoft Azure
IaaS
Good Clinical Practice
Real-time
Cisco Certifications
Enterprise Architecture
Database Administration
Artificial Intelligence
UI
Job Details
Job Description -
Data Architect
Location: 701 W. 51st Street, Austin, TX
Work Type: Hybrid 3 Days On-Site Weekly
Start Date: 09/01/2025 08/31/2026 | 2000 hrs
Note: Need 3 references
Location Requirement: Local Austin Candidates Only
Key Skills
- Data architecture
- ETL
- Snowflake
- Cloud Platforms (Azure/AWS/Google Cloud Platform)
- SQL
- EHR integration
- Big Data
- TOGAF preferred
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 acquisition, archive recovery, and implementation
- Cleans and maintains the database by removing and deleting old data
- Designs, develops, and manipulates database management systems, data warehouses, and multidimensional databases
- Requires depth and breadth of database knowledge for formal relational database design and strategic data manipulation
- Responsible for aligning enterprise data standards with strategic goals
- Maintains a centralized registry of metadata
- Working knowledge of EIR Accessibility standards and assistive technologies
- Ensures all UI for database administration and data handling 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 for a seasoned professional with in-depth expertise in data design and advanced analytics.
Key Responsibilities:
- Design and implement robust data structures to support analytics projects
- Develop database and table designs for optimized data storage and retrieval
- Use advanced analytics tools and techniques to extract insights for decision-making
- Collaborate with cross-functional teams to align data strategies with organizational goals
- Provide thought leadership on data modeling and analytics best practices
Ideal Candidate Profile:
- Proven experience as a Data Architect or similar role
- Strong understanding of data modeling, database design, and data governance principles
- Familiar with analytics tools and frameworks
- Excellent communication and collaboration skills
Join a dynamic team dedicated to transforming healthcare through innovative data solutions. Your expertise will significantly contribute to the success of HHSC initiatives.
Candidate Skills and Qualifications
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 | Data architecture, data modeling, and data warehousing |
10 | Required | Business intelligence and big data solutions |
10 | Required | Healthcare data standards like FHIR, CCDA, and HL-7 |
10 | Required | Leading and managing advanced analytics projects |
10 | Required | Cloud platforms (Azure, AWS, Google Cloud Platform) |
10 | Required | Developing, deploying, and managing applications/data on cloud platforms |
10 | Required | Strong knowledge of data architecture principles |
10 | Required | Proficiency in SQL and database technologies |
10 | Required | Knowledge of advanced analytics tools/strategies |
10 | Required | Strong communication skills (tech-to-non-tech translation) |
10 | Required | Team leadership and complex project management |
10 | Required | Proficiency in cloud infrastructure management |
10 | Required | Develop and maintain enterprise data models, warehouses, and lakes |
10 | Required | Evaluate/integrate AI, ML, big data analytics in healthcare |
10 | Required | Collaborate with engineers, developers, analysts on data usability |
10 | Required | Experience with ETL tools, integration platforms, APIs |
10 | Required | EHR integration, APIs, and real-time streaming |
10 | Required | Architect/design ETL pipelines using Informatica tools |
10 | Required | Design/model cloud-based data architecture with Snowflake |
Preferred Qualifications
Years | Preferred | Experience |
|---|---|---|
8 | Preferred | Implementing/deploying big data applications |
8 | Preferred | Hands-on expertise in Python and/or Java/Scala |
8 | Preferred | Structured EA practices, hybrid cloud, on-prem to cloud migration |
8 | Preferred | Healthcare industry experience |
8 | Preferred | Understanding of IM principles, IT processes, SDLC, architecture |
8 | Preferred | Consulting and facilitation skills |
8 | Preferred | Customer-focused communication across all org levels |
8 | Preferred | Proactive leadership; self-starter with attention to detail |
3 | Preferred | TOGAF, Azure/AWS/Google Cloud Platform Cloud Architecture Certification |
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.