14333 – Senior Data Architect & Analytics Lead (onsite) – Austin, TX
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 8 months with possible extensions
Work Setting: The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested.
Required:
• Availability to work 2 days per week at the Client’s site in Austin, TX (required);
• Experience in data architecture, data modeling, and data warehousing on-prem and cloud technologies (10 years)
• Experience with business intelligence and big data solutions. (10 years)
• Experience with healthcare data standards like FHIR, CCDA, and HL-7. (10 years)
• Experience in leading and managing advanced analytics projects. (10 years)
• Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. (10 years)
• Experience in developing, deploying, and managing applications and data storage on these platforms. (10 years)
• Experience with data architecture principles and best practices. (10 years)
• Experience with SQL and other database technologies. (10 years)
• Experience with advanced analytics tools and strategies. (10 years)
• Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience. (10 years)
• Experience in leading teams and managing complex projects. (10 years)
• Experience with cloud infrastructure management, including understanding of cloud-based data storage options, cloud security considerations, and best practices for deploying applications in the cloud. (10 years)
• Experience in developing and maintaining enterprise data models, data warehouses, and data lakes to support analytics and reporting. (10 years)
• Experience with evaluating and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare. (10 years)
• Experience with data engineers, developers, and analysts to ensure seamless data accessibility and usability. (10 years)
• Experience with ETL tools, data integration platforms, and APIs. (10 years)
• Experience with EHR integration, APIs, and real-time streaming. (10 years)
• Experience in architecting and designing ETL pipelines using Informatica tools. (10 years)
• Experience in designing and modeling data for cloud-based data architecture solutions using Snowflake as the primary data platform. (10 years)
Preferred
• Experience in implementing and deploying big data applications (10 years)
• Hands-on expertise in Python and/or Java/Scala (8 years)
• Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps (8 years)
• Healthcare industry experience (8 years)
• Experience with the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization. (8 years)
• Consulting and Facilitation Skills. (8 years)
• Customer-focused ability to communicate across all levels of the organization. (8 years)
• Proactive Leadership style; self-starter and strong attention to detail. (8 years)
• The Open Group Architecture Framework (TOGAF), Cloud Solution Architecture on Azure, Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) Certification.
• Experience in Texas or other state eligibility system (3 years)
Responsibilities:
• Design and maintain enterprise data models, data warehouses, and data lakes to support analytics, reporting, and AI/ML initiatives.
• Lead architecture and deployment of cloud-based data solutions with Snowflake as the core platform.
• Develop and optimize scalable ETL/ELT pipelines using Informatica and modern data integration tools.
• Collaborate with data engineers, analysts, and developers to ensure high-quality, accessible, and governed data assets.
• Evaluate and integrate emerging technologies—including AI, machine learning, and real-time streaming—into healthcare data ecosystems.
• Architect secure, compliant, and high-performance data solutions aligned with cloud best practices and healthcare regulations.
• Drive on-premises-to-cloud migration roadmaps and ensure seamless interoperability across hybrid environments.