Hybrid role of Cloud Healthcare Database Architect in Austin, TX

Overview

On Site
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

SQL
ETL
EHR
API
Snowflake
TOGAF
AWS
Azure
Cloud Database Architect

Job Details

Hi,
Kindly find the JD mentioned below,
Solicitation Number: 529601472
Role: Cloud Database Architect
Location: Austin, TX
Duration: 12+ month
Client: Texas Health and Human Services Commission
Hybrid
JOB DESCRIPTION:

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.


II. 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.
YearsRequired/PreferredExperience
10RequiredExperience in data architecture, data modeling, and data warehousing.
10RequiredExperience with business intelligence and big data solutions.
10RequiredExperience with healthcare data standards like FHIR, CCDA, and HL-7 would be a plus.
10RequiredProven experience in leading and managing advanced analytics projects.
10RequiredExperience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required.
10RequiredExperience in developing, deploying, and managing applications and data storage on these platforms.
10RequiredStrong knowledge of data architecture principles and best practices.
10RequiredProficiency in SQL and other database technologies.
10RequiredKnowledge of advanced analytics tools and strategies.
10RequiredStrong communication skills, with the ability to explain complex technical concepts to a non-technical audience.
10RequiredAbility to lead teams and manage complex projects.
10RequiredProficiency in cloud infrastructure management, including understanding of cloud-based data storage options, cloud security considerations, and best practices for deploying applications in the cloud.
10RequiredDevelop and maintain enterprise data models, data warehouses, and data lakes to support analytics and reporting.
10RequiredEvaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare.
10RequiredWork closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.
10RequiredExperience with ETL tools, data integration platforms, and APIs.
10RequiredExperience with EHR integration, APIs, and real-time streaming.
10RequiredExperience in architecting and designing ETL pipelines using Informatica tools.
10RequiredDesign and model data for cloud-based data architecture solutions using Snowflake as the primary data platform.
8PreferredExperience in implementing and deploying big data applications
8PreferredMust have hands-on expertise in Python and/or Java/Scala
8PreferredExperience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps
8PreferredHealthcare industry experience preferred
8PreferredFundamental understanding of the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization.
8PreferredConsulting and Facilitation Skills.
8PreferredCustomer-focused ability to communicate across all levels of the organization.
8PreferredProactive Leadership style; self-starter and strong attention to detail.
3PreferredThe Open Group Architecture Framework (TOGAF), Cloud Solution Architecture on Azure, Amazon Web Services (AWS) and/or Google Cloud Platform (Google Cloud Platform) 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.