Offer summary

Qualifications:

Proven experience in data architecture and enterprise integration within complex environments., Strong foundation in big data, data lakes, and advanced analytics., Deep understanding of cloud technologies, particularly AWS and Azure., Exceptional ability to synthesize business, functional, and technical requirements into effective solutions..

Key responsibilities:

Lead the design and implementation of enterprise data architectures across Medicaid ecosystems.

Translate business needs into functional and technical data solutions including data lakes and analytics services.

Define and drive data strategy, aligning with CMS modernization initiatives.

Collaborate with stakeholders to define and deliver on data governance and quality initiatives.

Job description

Data Architect

Company Overview

Random Bit is a system modernization partner that specializes in enterprise architecture, solution architecture, data architecture, cloud transformation, data governance, compliance framework solutions, and organizational change management for both public and private sector clients.

Job Summary

We are seeking a seasoned Enterprise Architect to join our company. The ideal candidate will be a strategic thinker with deep technical expertise and consulting experience, capable of shaping and executing data architectures that enable Medicaid modernization, data democratization, and cloud transformation.

Key Responsibilities:

Lead the design and implementation of enterprise data architectures (conceptual, logical, and physical) across Medicaid ecosystems.
Translate business needs into functional and technical data solutions including data lakes, ETL/ELT pipelines, data platforms, and analytics services.
Define and drive data strategy, aligning with CMS modernization initiatives and enabling self-service analytics, predictive modeling, and AI/ML applications.
Architect and support cloud-based, hybrid, and on-prem data solutions, with strong emphasis on AWS and Azure platforms.
Collaborate with stakeholders to define and deliver on data governance, data quality, master data management (MDM), and data mesh initiatives.
Evaluate and recommend technologies aligned to Medicaid goals; lead technology/vendor assessments and tool selection.
Contribute to the development and maturation of Data & Analytics Centers of Excellence.
Support agile project delivery including sprint planning, backlog grooming, and delivery oversight in collaboration with PMO and product teams.
Mentor technical teams and support cross-functional knowledge transfer.

Required Skills & Qualifications:

Proven experience in data architecture, data modeling, and enterprise integration within complex environments.
Strong foundation in big data, data lakes, BI platforms, and advanced analytics.
Deep understanding of cloud technologies including AWS (preferred: AWS Certified Architect) and Azure.
Demonstrated knowledge of data governance, data quality, data strategy, and data solution components.
Experience in ETL/ELT, enterprise application integration (EAI), SOA, API development, and modern data movement architectures.
Familiarity with data democratization, data mesh, and data-driven digital transformation practices.
Strong understanding of SDLC, Agile/Waterfall methodologies, and project management frameworks.
Exceptional ability to synthesize business, functional, and technical requirements into effective solutions, supported by schematics and design artifacts.
Skilled in organizational change management and aligning data solutions with business transformation goals.

Preferred Attributes:

Experience supporting State Medicaid Agencies or other public health entities.
Ability to lead cross-functional teams and facilitate strategic planning sessions.
Strong communication and stakeholder engagement skills.
Passion for continuous process improvement and data-driven decision-making.

Timeframe