Data Modeler/ Architect

Job: Data Modeler/ Architect

The contractor must reside in PA, and will be permitted to work from home. Office space for the contractor will be provided as needed. The contractor is expected to be in the office at least '1' day per month, subject to additional days in office at Manager discretion.

REQUIRED SKILLS:

• Manage assignments and track progress against agreed upon timelines.
• Plan, organize, prioritize, and manage work efforts, coordinating with the EDW and other teams.
• Perform research on potential solutions and provide recommendations to the EDW and DOH.
• Develop and implement solutions that meet business and technical requirements.
• Participate in testing of implemented solution(s).
• Build and maintain relationships with key stakeholders and customer representatives.
• Give presentations for the EDW, other DOH offices, and agencies involved with this project.
• Understand and convey best practices and standards for data management and analysis.
• Conduct training and transfer of knowledge sessions for maintaining and updating data models, data dictionaries, and metadata.
• Complete weekly timesheet reporting in PeopleFluent/VectorVMS by COB each Friday.
• Complete the weekly project status updates in Daptiv if necessary. This will be dependent on a project being entered into Daptiv.
• Provide weekly personal status reporting by COB Friday submitted on SharePoint.
• Utilize a SharePoint site for project and operational documentation; review existing documentation.

CONTRACTOR SKILLS AND EXPERIENCE REQUIREMENTS

REQUIRED SKILLS:

The Data Modeler / Architect can design, develop, and implement data models and data lake architecture to provide reliable and scalable applications and systems to meet the organization s objectives and requirements. The Data Modeler is familiar with a variety of database technologies, environments, concepts, methodologies, practices, and procedures.

• Demonstrable, advanced experience with data profiling, analysis and design, developing and documenting information domain models, data structures, objects, attributes, relationships, and integrity rules
• Experience with logical and physical data modeling, including use of tools like ErWin, or similar.
• Experience managing metadata, data dictionaries and technical documentation
• Experience with analyzing and translating business requirements and use cases into optimized models, data flows, and developing database solutions
• Experience with and knowledge of relational databases, entity relationships, data warehousing, facts, dimensions, and star schema concepts and terminology
• Strong proficiency with SQL Server, T-SQL, SSIS, stored procedures, ELT processes, scripts, and complex queries
• Working knowledge of Azure Databricks, Delta Lake, Synapse and Python
• Experience with evaluating implemented data systems for variances, discrepancies, and efficiency
• Experience with Azure DevOps and Agile / Scrum development methods
• Ability to balance work between multiple projects and possess good organizational skills, with minimal or no direct supervision
• Ability to work collaboratively and effectively with colleagues, and as a member of a team
• Ability to present complex technical concepts and data to a varied audience effectively.
• More than 10 years of relevant experience
• 4-year college degree in computer science or related field with advanced study preferred.

PREFERRED EXPERIENCE:

Experience working in the public health or healthcare industry with various health data sets.