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. |
|
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. |
|
8 |
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. |