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Texas Health and Human Services · 7 hours ago

Cloud Data Architect

Austin, TX

Full-time

Hybrid

Senior Level, Lead/Staff

$8,488.33/mo - $12,750/mo

10+ years exp

Texas Health and Human Services is committed to creating a positive impact in the lives of fellow Texans. The Cloud Data Architect will lead strategic initiatives for IT modernization and transformation, focusing on delivering technology solutions that meet organizational needs while collaborating with various stakeholders.

Health Care

No H1B

Responsibilities

Leads the work efforts for CTO strategic initiatives and/or technology projects

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

Designs, develop and administers highly scalable data systems with core capabilities across cloud-based provider services

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

Articulates the current state and desired state of a technical solutions, identifies gaps between the two states, and develops approaches to close any gaps

Oversees the process of developing training for staff prior to implementation of a new technology or data analytics platform

Performs other duties as assigned

Qualification

Cloud Data ArchitectureAI/ML SolutionsCloud PlatformsData GovernanceData PipelinesAgile MethodologyAnalytical SkillsTechnical WritingProblem-Solving SkillsCommunication SkillsLeadership Skills

Required

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

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

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