Principal, Database Architect

Overview As an MMIS Data Architect at Gainwell, you design and govern data architectures for large-scale Medicaid systems, collaborating with cross-functional teams to ensure data is structured, integrated, and validated across MMIS and MES environments. You guide data transformation from legacy MMIS platforms to modern solutions, leveraging AI-assisted automation while upholding governance. You will define and maintain data artifacts and integration patterns, ensuring CMS compliance and operational performance. This role offers growth in a mission-driven, innovation-focused environment with leadership and technical academies. Compensation / Benefitsgenerous, flexible vacation policyeducational assistance401(k) employer matchcomprehensive health benefitsleadership and technical development academiesremote work opportunity ResponsibilitiesDesign and govern MMIS data architectures for data conversion, integration, reporting, and downstream useGuide transformation strategies from legacy MMIS to modern solutions ensuring integrity, scalability, and performanceLeverage AI-assisted automation to accelerate data design, profiling, validation, reconciliation, and documentation while maintaining governanceCollaborate with converters, architects, analysts, and developers to align designs with target-state architectureCreate and maintain data architecture artifacts: source-to-target mappings, canonical models, data dictionaries, governance standardsEnsure data designs meet CMS requirements, audit readiness, reporting needs, and performance expectationsDefine data integration patterns and data flows between MMIS modules, analytics platforms, and external systemsCoordinate with infrastructure and cloud teams for hosting, security, and performance alignment Key requirements9+ years of experience in data architecture or large-scale data platform design (preferably Medicaid/MMIS/public sector healthcare)Experience supporting data conversion or data migration initiatives with source-to-target design and validation3+ years applying AI-assisted or intelligent automation to accelerate data workflows in governed environmentsFoundational understanding of cloud infrastructure and networking (firewalls, routing, storage)Experience across SDLC in large, complex implementation programsStrong communication skills to explain complex data concepts to technical and non-technical stakeholdersstrong communicationstakeholder managementcollaborationdata architecture and governancedata conversion and integrationAI-assisted automation for data workflows