Position will be 2 days remote with 3 days (Mon & Wed & Thurs) required to be onsite at the location listed above. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius). **Subject to change per the hiring team**
Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas
| 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. | ||
| Years | Required/Preferred | 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 |