Tryfacta, Inc.
Required: looking for State client experience candidate:
Candidate Skills and Qualifications Required
10 years of experience in data architecture, data modeling, and data warehousing on-prem and cloud technologies.
10 years of experience with business intelligence and big data solutions.
10 years of experience with healthcare data standards such as FHIR, CCDA, and HL-7 (plus).
10 years of proven experience leading and managing advanced analytics projects.
10 years of experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
10 years of experience developing, deploying, and managing applications and data storage on these platforms.
10 years of strong knowledge of data architecture principles and best practices.
10 years of proficiency in SQL and other database technologies.
10 years of knowledge of advanced analytics tools and strategies.
10 years of strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.
10 years of ability to lead teams and manage complex projects.
10 years of 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 years of developing and maintaining enterprise data models, data warehouses, and data lakes to support analytics and reporting.
10 years of evaluating and integrating emerging technologies such as AI, machine learning, and big data analytics in healthcare.
10 years of working closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.
10 years of experience with ETL tools, data integration platforms, and APIs.
10 years of experience with EHR integration, APIs, and real-time streaming.
10 years of experience architecting and designing ETL pipelines using Informatica tools.
10 years of designing and modeling data for cloud-based data architecture solutions using Snowflake as the primary data platform.
Preferred
8 years of experience implementing and deploying big data applications.
8 years of hands-on expertise in Python and/or Java/Scala.
8 years of experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps.
8 years of healthcare industry experience preferred.
8 years of fundamental understanding of information management principles, IT processes, SDLC, architecture, and technologies adopted by an organization.
8 years of consulting and facilitation skills.
8 years of customer-focused ability to communicate across all levels of the organization.
8 years of proactive leadership style; self-starter and strong attention to detail.
3 years of The Open Group Architecture Framework (TOGAF), Cloud Solution Architecture on Azure, Amazon Web Services (AWS), and/or Google Cloud Platform (GCP) certification.
3 years of experience in Texas or other state eligibility system.
Seniority Level Mid-Senior level
Employment Type Contract
Job Function Engineering and Information Technology
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Candidate Skills and Qualifications Required
10 years of experience in data architecture, data modeling, and data warehousing on-prem and cloud technologies.
10 years of experience with business intelligence and big data solutions.
10 years of experience with healthcare data standards such as FHIR, CCDA, and HL-7 (plus).
10 years of proven experience leading and managing advanced analytics projects.
10 years of experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
10 years of experience developing, deploying, and managing applications and data storage on these platforms.
10 years of strong knowledge of data architecture principles and best practices.
10 years of proficiency in SQL and other database technologies.
10 years of knowledge of advanced analytics tools and strategies.
10 years of strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.
10 years of ability to lead teams and manage complex projects.
10 years of 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 years of developing and maintaining enterprise data models, data warehouses, and data lakes to support analytics and reporting.
10 years of evaluating and integrating emerging technologies such as AI, machine learning, and big data analytics in healthcare.
10 years of working closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.
10 years of experience with ETL tools, data integration platforms, and APIs.
10 years of experience with EHR integration, APIs, and real-time streaming.
10 years of experience architecting and designing ETL pipelines using Informatica tools.
10 years of designing and modeling data for cloud-based data architecture solutions using Snowflake as the primary data platform.
Preferred
8 years of experience implementing and deploying big data applications.
8 years of hands-on expertise in Python and/or Java/Scala.
8 years of experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps.
8 years of healthcare industry experience preferred.
8 years of fundamental understanding of information management principles, IT processes, SDLC, architecture, and technologies adopted by an organization.
8 years of consulting and facilitation skills.
8 years of customer-focused ability to communicate across all levels of the organization.
8 years of proactive leadership style; self-starter and strong attention to detail.
3 years of The Open Group Architecture Framework (TOGAF), Cloud Solution Architecture on Azure, Amazon Web Services (AWS), and/or Google Cloud Platform (GCP) certification.
3 years of experience in Texas or other state eligibility system.
Seniority Level Mid-Senior level
Employment Type Contract
Job Function Engineering and Information Technology
#J-18808-Ljbffr