Senior Data Architect

Company Overview

Random Bit is a technology consulting company that specializes in planning and managing complex IT change initiatives. We are customer focused and committed to quality, transparency, and the proactive ownership of client needs. Our goal is to ensure our clients receive real business value from their IT investments. Our team consists of experienced technical professionals who are capable of proactive engagement, a high level of customer service, and timely, high-quality delivery.

The Senior Data Architect will serve as a lead member of a data warehouse and data analytics project team. The role is responsible for ensuring that data management, data quality, and data architecture standards and best practices are adhered to throughout the lifecycle for the project.

The Senior Data Architect will be relied upon to: 

• Leads project team in defining a common data model vision, management, and data lifecycle approach.
• Assists the data office with define the standards to use for data modeling and management of data models.
• Partners with business and IT teams to gain consensus, and to establish and implement the solution architecture standards, policies.
• Partners with data governance group, technical architects, and IT leads in the selection of metadata tools
• Provides impact analysis on key data issues to assist with prioritization.
• Ensures the architectural vision, roadmap, and standards for governing, modeling, storing, and delivering data within the enterprise are adhered to.
• Assists the data office to develop and implement data stewardship practices and a shared responsibility model of data governance.
• Ensures solution design addresses the data standards and principles both from a functional and technical requirement perspective.
• Leads data architecture design sessions and drive resolution of design issues as appropriate.
• Leads the design of solutions to enable the external stakeholder community to use data, both Open Data and under Data Sharing Agreements.
• Prepares documentation, including system flow charts and business processes.
• Conducts data architecture reviews and issue resolution.
• Develops reference data models and documentation for the project team to implement.
• Works with Data Stewards 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 for Data Mastery and Master Data Management.
• Develop governance process for data stewards to manage Master Data.
• Partners directly with IT development teams and technical architects in the implementation of the 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.
• Other assignments as required to achieve the successful completion of the project.

Required Experience and Skills: 

• 10+ years of experience as Data Scientist, Data Architect, or similar role
• Proven experience in:

• Data design/implementation and data use/analysis
• Data modeling, mastery, management, and governance techniques
• Data governance work
• Use of Data Quality tools, and in documenting, prioritizing and resolving data quality related issues
• Implementation of Master Data Management (MDM) solutions
• Development of data models, ideally in a healthcare domain, such as Medicaid

• Self-sufficient and capable of providing thought leadership across data capabilities.
• 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.

Preferred Certifications 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

Education Requirements:

• Bachelor's and/or master’s degree in computer science, Statistics, Engineering, Mathematics, Business, Science

Type and Location:

• Full-time, W2 with competitive salary and benefits