• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 18th Mar 2024

***With all submittals, make sure each candidate's resume has a skills matrix referencing their years of experience compared to the requirements. This is REQUIRED. 

***Make sure the candidate has a signed Exhibit E for submission. 

The Florida Department of Health Office of Information Technology Business Automation and Information Management is seeking a very experienced Enterprise Architect for an upcoming project. This scope of work is for an Enterprise Architect who will be responsible for assisting the Florida Department of Health articulate and operationalize technical aspects of a data modernization strategy. The Enterprise Architect will assist the Florida Department of Health in evaluating business, technical, and governance needs as well as vendor solutions and to architect and provide technical guidance during implementation of a centralized, operationally efficient, cloud-based Data Ecosystem. The Data Ecosystem encompasses systems and data storage that provide Data Governance, Integration, Data Lakehouse, Business Intelligence, Advanced Analytics and Artificial Intelligence functions. The EA will provide these services to the Department onsite in Tallahassee, Florida. 

Education & Experience: 

•            Master’s degree in Computer Science, Analytics/Data Science, Information Systems, or another related field. Equivalent work experience may be substituted for the educational requirements at a rate of one year of experience for one year of education. 

•            5 years of experience interfacing directly with various lines of business; must demonstrate an understanding of general business operations, preferably in healthcare related fields. 

•            8 years of experience in Data Warehouse and Data Lake architecture, design, and development. 

•            10 years of experience in data architecture data modeling (including Entity Relationship, Logical, Conceptual, and Physical models), and data profiling/reverse engineering in both schema-on-read and schema-on-write environments. The experience includes proficiency with standard modeling tools like Erwin. 

•            10 years of experience with Data Pipeline tools, including design, performance optimization and development/engineering, for both batch (i.e., ETL) and streaming (i.e., Kafka) capabilities. 

•            1 year of experience with Data Mesh and/or Data Fabric architecture design and/or implementation. 

•            10 years of experience with SQL programming inclusive of stored procedures, functions, and triggers. 

•            5 years of experience with Python or similar object-oriented high-level programming language. 

•            10 years of experience with relational and No SQL (Document, Graph, Key-Value) databases. 

•            10 years of experience implementing cloud architecture patterns in cloud platforms like Azure or AWS, including ingress/egress, security considerations and storage/processing cost optimization. 

•            5 years of experience designing technology solutions using composable architecture and microservices. 

•            5 years of experience designing data hubs via a canonical data model, as well as governing, incorporating the use of, and optimizing APIs for data exchanges. 

•            5 years of experience with source control systems such as Azure DevOpsTwo years of experience utilizing Dev or DataOps processes. 

•            5 years of experience in data testing/QA best practices (including performance), tools and automation. 

•            5 years of experience architecting and implementing Data Governance related solutions such as Master Data Management, Data Quality, Data Catalog and Metadata Management. 

•            10 years of experience architecting and implementing Business Intelligence tools. 

•            5 years of experience architecting and implementing Advanced Analytics platforms, including model life-cycle management and machine learning. 

•            2 years of experience designing solutions augmented with artificial intelligence. 

•            5 years of experience working with large volumes of data in the petabyte range.