| 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. | |||
| Actual Years Experience |
Years Experience Needed |
Required/ Preferred |
Skills/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 | |
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