Data Architect

Role: Data Architect

Location: Remote

Duration: Long Term

DATA ARCHITECT/LEAD RESPONSIBILITIES:

The Data Lead will represent the Agency of Digital Services as a member of the client project team. The role is responsible for ensuring data architecture and design,

documentation exists or is produced, creating data maps with a migration plan documented, complete with documenting necessary data extraction, transformation,

cleansing, validation, verification which are or need be done to ensure data quality and integrity is maintained that supports a sound, reliable, repeatable and executable data

migration plan. All data management, data quality, and data architecture, governance standards and best practices are and need be adhered to throughout the lifecycle for the

project. Specific activities include the following:

• Generate a comprehensive architecture document for all data sources detailing the database or data model and for each identify all data elements, their name, origin, data classification, attribute, format, whether a key, index, the edits, verification, or validation done to ensure data quality and integrity.
• Assists the project team to describe/document the common data models, how managed, maintained and their contribution to downstream applications and processes.
• Partners with business and IT teams to gain consensus, and to establish and implement the migration solution architecture standards, policies.
• Partners with data governance group, technical architects, and IT leads in the selection of all data, and the ETL and/or customized and configurable tools to be proposed/used in data assembly, aggregation and subsequent migration.
• Provides impact analysis on key data issues to assist with prioritization.
• Ensures the architectural vision, roadmap, and standards for governing, modeling, storing, delivering, and migrating data within the enterprise are adhered to.
• Assists to develop and implement data stewardship practices and a shared responsibility model of data governance.
• Ensures the migration solution design addresses the data standards and principles both from a functional and technical requirement perspective.
• Leads data migration architecture and data migration design sessions and drives resolution of design issues as appropriate.
• Leads the design of migration solutions to enable the external stakeholder community (VTies solution provider) to use contributing data, both Open Data and under Data Sharing Agreements.
• Prepares documentation, including data architecture, data migration design, data/system flow charts, associated business processes and data migration plans/planning.
• Conducts data architecture and design reviews and issue resolution.
• Develops reference data models, methods, and documentation for the project team to implement for data correlation and/or interleaving via use of an MDM, transitory and/or staging entities that support migration to a target database.
• Works with Data Stewards and technical SMEs to identify Critical Data Elements. Lead and/or participate in Data Management initiative across business units as required.
• Define and implement policies and processes for data quality, data security, and governance for the project.
• Develop and implement strategy(s) for Data Mastery and Master Data Management.
• Develop governance process(es) for data stewards to manage Master Data.
• Partners directly with IT development teams and technical architects in the implementation of all applied logical data models.
• Ensures data quality and integrity; interprets, analyzes, and drives resolution of data problems.
• Tests performance of data-driven products.
• Raises Data Quality issues to the project team and State leadership.
• Attends relevant data meetings where specific knowledge is required.
• Conducts reviews to ensure quality, standards compliance, reusability, and ease of maintenance.
• Architects, designs, and documents a Pilot execution environment to test and analyze the performance and resource demands of the Data Migration Solution in accordance with the Data Migration Plan.
• Other assignments as required to achieve the successful completion of the project and associated tasks.

Required Skills:

For this request, knowledge requirements include:

• A minimum of 10 years of experience as Data Scientist, Data Architect, or similar role, including experience in both the fields of data design/implementation and data use/analysis.
• Expert knowledge of various data models/structures like hierarchical, relational, object, structured and unstructured.
• Expert knowledge of various (one or more) DBMS and RDBMS like IBM's IMS or SAG's ADABAS, MS SQL, Oracle, DB2/UDB, MariaDB, PostgreSQL, MongoDB, etc.
• Must be self-sufficient and provide thought leadership across data capabilities.
• Expert knowledge of data ingestion, modeling, mastery, and management techniques.
• Expert knowledge in ETL tools/utilities, architecture, designing and modeling data stage and load schemas.
• Proven experience in the use of Data Quality tools, and in documenting,
• prioritizing, and resolving data quality related issues.
• Proven experience implementing/using MDM solutions to create correlated or interleaved data.
• Proven experience in development of data models, ideally in the healthcare domain.
• Proven experience navigating large and complex projects with multiple stakeholders and project teams.
• Strong organizational and leadership skills
• Excellent communication skills
• Experience preparing executive level presentation materials.

Licensing or Certifications for Data Lead (Preferred) include:

• Certified Data Management Professional (CDMP)
• Master Data Management Certification (MDM)
• Certified in Data Protection (CDP)
• Certified Public Sector Data Governance Professional (PSDGP)
• Certified Analytics Professional (CAP)
• AWS Certified Data Analytics Specialty

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.