Cloud Data Architect

NOTES:
Only send if they worked for a State agency before especially health & human services (any state) but any state agency is fine and also expeirence working for any type of healthcare environment.
ONLY SEND IF THEY ALREADY LIVE WITHIN 40 MILES OF AUSTIN AND DONT SEND IF THEY ARE CURRENTLY OUT OF TOWN




I do have this one with HHSC (Health & Human Services - State of TX)
its direct with the manager so not in the portal
Remote but candidate must already reside in Austin TX so don't send if they don't live here
They will also be given a 5 min assessment so it shows the IP of their city/state when they take it so if they are not in town now dont' send if the assessemnt says anywhere other than within 40 miles of Austin I cannot send it
Multi Year
AI Architect
Rate he said to send competitive rates based on candidate (however keep in mind they know what the rates should be and they will be comparing to other candidates so I wouldn't overly mark it up or they won't get picked




We have some resumes so only send if they've worked for a healthcare client in the past and also if they worked for any state agency (like HHS of any other state is fine or any other state of TX agency in the past) again we have without so only send if they worked for an actual state agency
Visas, USC or GC or Senior H1




Job Description
Need someone urgently. Start Sept 1








Brief Job Description:
The Cloud Data Architect will focus on the design and architecture for IT modernization and transformation for Chief Technology Officer (CTO) initiatives. This person leads strategic initiatives and work groups, possesses solid technology skills, and has a base understanding of HHS business processes. This position will perform advanced, senior-level technology architecture work in support of HHS CTO projects whose scope is to address HHS-wide technology needs. This position will work closely with the CTO, Deputy CTO, Chief Data Architect Office, Chief Enterprise Architect, portfolio manager, application development teams, business stakeholders and other partners.




They will have to utilize agile development practices and works together with other teams in support of application enhancements. They will act independently or as a member of a workgroup or project team. They are responsible for the quality and on-time delivery of the deliverables. This position will work under minimal direction with considerable latitude for the use of initiative and independent judgment.




Essential Job Functions (EJFs):
(30%) Leads the work efforts for CTO strategic initiatives and/or technology projects. Serves as a lead cloud data/AI engineer defining, leading and delivering initiative/or technology projects that meet specific business needs. Conducts and oversees studies and the preparation of initiative reports that include study findings, presentations, recommendations, and instructions for proposed system implementations/enhancements; formulates logical descriptions of problems; and designs and implements optimum solutions. Enables delivery and execution against a highly advanced and/or managerial (senior-level) computer systems analysis work. Work involves hands-on planning and analyzing user requirements, procedures, and problems to automate processing or to improve existing systems. Prepares As Is and To Be analysis, Gap analysis, SWOTs, charts, diagrams, and tables that depict the present and proposed systems in terms of an estimation of costs, benefits, and work effort. Plans and schedules studies and system implementations. Provides technical and business process guidance.




(25%) Drives and leads data/AI initiatives that cross functional agency systems, other IT groups and other state entities that require coordinating, planning, and scheduling during project development and implementation stages. Provides options in the determination and implementation of architectural solutions. Provides a design and implementation of new and revised methods that effectively meet agency needs. Ensures that designs comply with data security requirements for each category of data contained in a solution.




(15%) Designs, develop and administers highly scalable data systems with core capabilities across cloud-based provider services. This includes reporting and full system integration.




(15%) Leads and participates in solution implementation to include coordinating and solving problems, analyzing systems and procedures, developing or revising existing code; scheduling, testing, installing, and implementing systems; writing or revising standards and procedures.




(5%) Articulates the current state and desired state of a technical solutions, identifies gaps between the two states, and develops approaches to close any gaps. Collaborates with HHS IT groups on recommendations. Assists in the preparation of information technology planning and justification.




(5%) Oversees the process of developing training for staff prior to implementation of a new technology or data analytics platform. May also conduct the training of technical staff and program staff on the use of the new tools, technologies, or application.




(5%) Performs other duties as assigned.




Knowledge, Skills and Abilities (KSAs):
Knowledge and hands-on experience of the limitations and capabilities of computer systems, information technology equipment, applicable programming languages, computer hardware and software, and computer operating systems.
Knowledge of new cloud technologies and the analytical services available from the major cloud services providers.
Knowledge of AI services and configuration required to set up the service available from major cloud services providers.
Knowledge of databases, such as Snowflake, Oracle, and NoSQL data stores, e.g. Postgres.
Knowledge of cloud delivery models: PaaS, SaaS, IaaS.
Knowledge of agile (scrum) methodology and scrum ceremonies.
Knowledge of cloud-based services for AWS, Microsoft Azure or GCP.
Strong knowledge of data pipelines, ETL processes, and big data frameworks.
Strong knowledge in data governance, security, and compliance in cloud environments.
Knowledge of cloud-native AI services (e.g., Azure AI, AWS SageMaker, Google Vertex AI).
Strong technical writing and diagraming skills, including proficiency with modeling and mapping tools (e.g., Visio, Erwin), the Microsoft Office Suite (Word, Excel, and PowerPoint) and MS Project.
Strong analytical and problem-solving skills with experience as a technology architect for software development, data analytics, performance management system, or data warehousing project.
Skill analyzing technology systems capabilities, limitations, defects, and business problems to draw evidence-based conclusions and devise innovative solutions.
Ability to work under pressure and successfully manage multiple overlapping deadlines, and able to handle multiple cross-agency projects.
Ability to produce reliable, accurate, high-quality results.
Ability to be adaptable and learn quickly.
Ability to deliver work within defined schedules, cost and quality.
Ability to coordinate multiple assignments/projects, set priorities, and meet deadlines.
Ability to communicate with a high level of effectiveness both verbally and in written formats.
Ability to lead and provide direction to team members.
Ability to lead the creation of best practices and procedures.
Proven ability to design AI-driven data architectures and integrate machine learning models into enterprise solutions.
Proven ability to design AI-driven data architectures and integrate machine learning models into enterprise solutions.








Registrations, Licensure Requirements or Certifications:
N/A




Initial Screening Criteria:
Education: Graduation from an accredited four-year college or university with a Bachelor of Science (BS) or Bachelor of Administration (BA) in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a related field is preferred. Equivalent experience may be substituted on a year-for-year basis.




Experience:
10+ years of IT experience in global environments, including cloud-based and third-party outsourced components.
5+ years of experience architecting, engineering, or developing enterprise IT solutions in cloud and hybrid environments.




Experience in two or more areas:
Cloud Data Architecture
Data Intelligence & AI/ML Solutions
Infrastructure Services
Database Technologies




Experience with at least three of the following domains:
Cloud platforms (Azure, AWS, GCP)
Advanced Analytics & AI/ML
Data Management & Governance
Infrastructure & Security
Applications & Systems Integration
5+ years of experience as an Enterprise Architect or Data Architect.




Preferred:
Experience with JIRA software
Prior experience in the Healthcare industry.