Enterprise Architect

Overview:

The Enterprise Architect will be responsible for assisting the local state agency to operationalize technical aspects of a data modernization strategy. The position will assist the local agency in evaluating business, technical, and governance needs as well as 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,Business Intelligence, Advanced Analytics and Artificial Intelligence functions. Contractor will

provide these services onsite in Tallahassee, Florida.

Required Skills:

• Master’s degree in Computer 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.
• Five years of experience interfacing directly with various lines of business; must demonstrate an understanding of general business operations, preferably in healthcare related fields.
• Eight years of experience in Data Warehouse and Data Lake architecture, design, and development.
• Ten 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.
• Ten 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.
• One year of experience with Data Mesh and/or Data Fabric architecture design and/or implementation.
• Ten years of experience with SQL programming inclusive of stored procedures, functions, and triggers.
• Five years of experience with Python or similar object-oriented high-level programming language.
• Ten years of experience with relational and No SQL (Document, Graph, Key-Value) databases.
• Ten years of experience implementing cloud architecture patterns in cloud platforms like Azure or AWS, including ingress/egress, security considerations and storage/processing cost optimization.
• Five years of experience designing technology solutions using composable architecture and micro services.
• Five 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.
• Five years of experience with source control systems such as Azure DevOps.
• Two years of experience utilizing Dev or DataOps processes.
• Five years of experience in data testing/QA best practices (including performance), tools and automation.
• Five years of experience architecting and implementing Data Governance related solutions such as Master Data Management, Data Quality, Data Catalog and Metadata Management.
• Ten years of experience architecting and implementing Business Intelligence tools.
• Five years of experience architecting and implementing Advanced Analytics platforms,including model life-cycle management and machine learning.
• Two years of experience designing solutions augmented with artificial intelligence.
• Five years of experience working with large volumes of data in the petabyte range.

Responsibilities of the position:

• Assist the agency with reviewing current and future state artifacts and recommendations from the vendor engaged to supply the technical framework supporting the data and analytics modernization initiative as directed by them.
• Actively contribute to building, documenting, and visualizing the Data & Analytics Strategy and Roadmap, as well as ensuring alignment with business requirements and the Department’s 5-year Strategic Plan as directed by the Department.
• Assist the Department design the enterprise data modernization architecture framework that will support data governance and quality efforts as well as the data ecosystem including all data pipelines, data structures and storage, access management/security, sensitive data protection, processing, and integration. The architecture will also address data exchanges to and from internal and external organizations and include strategies to support advanced analytics, reporting, visualizations, and artificial intelligence projects as directed by the Department.
• Assist the Department design and implement technologies that support efficient enterprise Data Governance operations, such as Master Data Management, Data Quality, and Data Catalog, to also encompass features of an enterprise Master Person Index (MPI) domain solution which is a key component of the overall data modernization strategic effort for successful systems integration and interoperability of agency systems, as directed by the Department.
• Assist the Department with discovery and evaluation of the vendor tools/systems that are best aligned with the data monitoring strategy and future state architectural framework as directed by the Department.
• Estimate and project total cost of ownership per vendor tool/system, including licensing/subscription costs, data storage/processing costs, and labor required to implement and maintain.
• Create a scorecard of required capabilities and features of each vendor tool/system to be evaluated along with a weighted scoring mechanism for purposes of unbiased comparison and selection of the vendor/tool as directed by the Department.
• Assist the Department with the vendor tool/system evaluation process through supplying the selection committee (to include business, project team, information security, and IT) with research and demos; then collating scores from all participants per evaluated tool/system and recommend the best fit, as directed by the agency.
• Assist the Department lead joint application development (JAD) sessions to create the visual Entity Relationship Diagram (ERD) for the entire Department of Health as directed by the Department.
• Assist the Data Governance and DMI Project team with identifying Master Data
• Domains and attributes (considering the MPI requirement), as directed by the agency.
• Assist the Department with reverse engineer and profile prioritized source systems, then lead JAD sessions to create the conceptual and logical data models for related entities and subject areas to be loaded in the first wave to the new data ecosystem, as directed by the agency.
• Assist the Department to assess requirements and create a modernized, secure, standardized architecture for the collection, movement, access, and storage of internal and external data exchanges as directed by the Department.
• Perform assessments and create a strategy to optimize the existing/legacy Data
• Exchange Interfaces, as well as creating a sunset plan, as directed by the Department.
• Collaborate with developers, management and cross-functional teams and stakeholders at the enterprise level systems daily as directed by the Department.
• Assist the Department to develop and establish data governance, master data management, data architecture and sensitive data protection principles and policies as directed by the Department.
• Assist the Department in developing and implementing data standards, policies, and quality scorecards to ensure data integrity, security, and the main dimensions of Data.

Job Type: Full-time

Pay: $70.00 - $80.00 per hour

Expected hours: 40 per week

Experience level:

• 5 years

Schedule:

• 8 hour shift

Education:

• Bachelor's (Required)

Experience:

• Data Mesh: 1 year (Required)
• Data Lake: 8 years (Required)
• Data Warehouse: 8 years (Preferred)
• Data Architecture and Modeling: 10 years (Required)
• Data Pipeline Tools: 10 years (Required)

License/Certification:

• Driver's License (Required)

Work Location: In person