Principal, Database Architect

Gainwell Technologies LLC•Any city, OH

8d•$118,800 - $169,700•Remote

About The Position

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. As an MMIS Data Architect at Gainwell, you will design and govern data architectures supporting large-scale Medicaid system implementations and modernizations. You will partner with conversion teams, application architects, analysts, developers, and state clients to ensure data is structured, integrated, validated, and optimized across MMIS and modular Medicaid Enterprise (MES) environments.

Requirements

9+ years of experience in data architecture or large-scale data platform design, preferably within Medicaid, MMIS, or public sector healthcare systems.
Experience supporting data conversion or data migration initiatives, including source-to-target design and validation strategies.
3+ years of experience applying AI-assisted or intelligent automation capabilities to accelerate data workflows within governed enterprise environments.
Foundational understanding of cloud infrastructure and cloud networking protocols, including firewalls, routing, and network storage.
Experience working across the full software development life cycle (SDLC) in large, complex implementation programs.
Strong communication skills with the ability to explain complex data concepts to technical and non-technical stakeholders.

Responsibilities

Design and define MMIS data architecture standards supporting data conversion, integration, reporting, and downstream operational use.
Guide data transformation strategies from legacy MMIS platforms to modern solutions ensuring integrity, scalability, and performance.
Leverage AI-assisted and intelligent automation techniques to accelerate data design, profiling, validation, reconciliation, and documentation workflows while maintaining strong governance and human review.
Collaborate with data conversion managers, architects, analysts, and developers to align conversion design with target-state architecture.
Establish and maintain data architecture artifacts including source-to-target mappings, canonical models, data dictionaries, and governance standards.
Ensure data designs support CMS requirements, audit readiness, reporting needs, and operational performance expectations.
Define integration patterns and data flows between MMIS modules, analytics platforms, and external systems.
Partner with infrastructure and cloud teams to ensure alignment with hosting, security, and performance standards.