Database Architect Healthcare Data Standards

Hill Country Project Management LLC

Job Location:

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Metro Austin Residents Only Closes 12/19
Loc:Position will be 2 days remote with 3 days (Mon & Wed & Thurs) required to be onsite in Austin

Role Overview

The Database Architect 3 will design and implement enterprise-level data architecture solutions for the Texas Health and Human Services Commission (HHSC). This senior-level role focuses on building robust relational databases data warehouses and cloud-based data platforms to support advanced analytics and healthcare initiatives. The position requires expertise in data modeling ETL pipeline design and integration of emerging technologies such as AI and machine learning.

Key Responsibilities

Design and build relational databases data warehouses and data lakes for analytics and reporting.
Develop strategies for data acquisition archiving recovery and governance.
Implement cloud-based data architecture solutions using Azure AWS or GCP; primary platform: Snowflake.
Architect and manage ETL pipelines using Informatica and integration tools.
Ensure compliance with EIR Accessibility Standards for all database interfaces.
Collaborate with cross-functional teams to align data strategies with organizational goals.
Evaluate and integrate emerging technologies (AI ML big data) into healthcare data solutions.
Lead advanced analytics projects and provide thought leadership on data modeling best practices.
Maintain centralized metadata registry and enforce enterprise data standards.
Work closely with data engineers developers and analysts for seamless data accessibility.

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	Experience in data architecture data modeling and data warehousing on-prem and cloud technologies
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	Experience with ETL tools data integration platforms and APIs.
10	Required	Experience with EHR integration APIs and real-time streaming.
10	Required	Experience in architecting and designing ETL pipelines using Informatica tools.
10	Required	Design and model data for cloud-based data architecture solutions using Snowflake as the primary data platform.
10	Preferred	Experience in implementing and deploying big data applications
8	Preferred	Must have hands-on expertise in Python and/or Java/Scala
8	Preferred	Experience with structured Enterprise Architecture practices hybrid cloud deployments and on-premise-to-cloud migration deployments and roadmaps
8	Preferred	Healthcare industry experience preferred
8	Preferred	Fundamental understanding of the Information Management principles IT processes SDLC architecture and technologies adopted by an organization.
8	Preferred	Consulting and Facilitation Skills.
8	Preferred	Customer-focused ability to communicate across all levels of the organization.
8	Preferred	Proactive Leadership style; self-starter and strong attention to detail.
3	Preferred	The Open Group Architecture Framework (TOGAF) Cloud Solution Architecture on Azure Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) Certification.
3	Preferred	Experience in Texas or other state eligibility system

Metro Austin Residents Only Closes 12/19Loc:Position will be 2 days remote with 3 days (Mon & Wed & Thurs) required to be onsite in AustinRole OverviewThe Database Architect 3 will design and implement enterprise-level data architecture solutions for the Texas Health and Human Services Commission...

Metro Austin Residents Only Closes 12/19
Loc:Position will be 2 days remote with 3 days (Mon & Wed & Thurs) required to be onsite in Austin

Role Overview

Key Responsibilities

Design and build relational databases data warehouses and data lakes for analytics and reporting.
Develop strategies for data acquisition archiving recovery and governance.
Implement cloud-based data architecture solutions using Azure AWS or GCP; primary platform: Snowflake.
Architect and manage ETL pipelines using Informatica and integration tools.
Ensure compliance with EIR Accessibility Standards for all database interfaces.
Collaborate with cross-functional teams to align data strategies with organizational goals.
Evaluate and integrate emerging technologies (AI ML big data) into healthcare data solutions.
Lead advanced analytics projects and provide thought leadership on data modeling best practices.
Maintain centralized metadata registry and enforce enterprise data standards.
Work closely with data engineers developers and analysts for seamless data accessibility.

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	Experience in data architecture data modeling and data warehousing on-prem and cloud technologies
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	Experience with ETL tools data integration platforms and APIs.
10	Required	Experience with EHR integration APIs and real-time streaming.
10	Required	Experience in architecting and designing ETL pipelines using Informatica tools.
10	Required	Design and model data for cloud-based data architecture solutions using Snowflake as the primary data platform.
10	Preferred	Experience in implementing and deploying big data applications
8	Preferred	Must have hands-on expertise in Python and/or Java/Scala
8	Preferred	Experience with structured Enterprise Architecture practices hybrid cloud deployments and on-premise-to-cloud migration deployments and roadmaps
8	Preferred	Healthcare industry experience preferred
8	Preferred	Fundamental understanding of the Information Management principles IT processes SDLC architecture and technologies adopted by an organization.
8	Preferred	Consulting and Facilitation Skills.
8	Preferred	Customer-focused ability to communicate across all levels of the organization.
8	Preferred	Proactive Leadership style; self-starter and strong attention to detail.
3	Preferred	The Open Group Architecture Framework (TOGAF) Cloud Solution Architecture on Azure Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) Certification.
3	Preferred	Experience in Texas or other state eligibility system