> Markdown version of [/jobs/ext/4701710-enterprise-data-architect](https://www.wearedevelopers.com/jobs/ext/4701710-enterprise-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Architect - **Company:** Five Square Innovations LLC - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $124,800 - $156,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Automation of Tests, Cloud Engineering, Software Quality, Continuous Integration, Data Governance, Data Hub, Data Sharing, Software Design Patterns, Graph Database, Interoperability, Software Architecture, Software Engineering, Workflow Management Systems, Enterprise Data Management, Enterprise Application Integration, Model-Driven Development, Information Technology, Api Design - **Published:** November 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6628d7f6ab7c664f ## About the Role * Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience). * 5+ years of hands-on software architecture and development experience for data-centric integrated business platforms including an enterprise data architecture designed for integration, usability, scalability, and maintainability. * Demonstrated ability to drive the design of scalable enterprise data ontologies, partnering with functional and application leaders, to ensure applicability of the design and subsequent adoption. * Demonstrated success setting technical direction while delivering business outcomes in complex, cross-functional environments. * Strong communication skills with ability to influence technical and non-technical stakeholders., * Experience in banking and insurance and enterprise solutioning domains. * Knowledge of model-driven or rules-driven solution design systems and specification generation workflows. * Experience defining and governing shared data models/schemas and API-first integration for multi-team platforms. * Experience with graph database technology and designing enterprise ontologies. * Experience with cloud-native architecture, secure software development, and enterprise integration patterns. * Experience defining engineering governance, quality frameworks, and platform standards at scale. ## Description * Define and maintain the technical vision, architecture principles, and engineering strategy for the Solution Data Repository. * Lead the design and development of an enterprise ontology to inform the technical architecture. * Establish robust design patterns, integration contracts, and data standards that enable lifecycle continuity from pre-sales to downstream execution and support. * Own architecture decisions for core platform capabilities, including modeling/configuration, workflow orchestration, specification generation, and system interoperability. * Define the technical approach for evolution, including where catalogs and project-specific configurations are authored, versioned, and persisted. * Partner with product and domain leaders to align platform evolution with market needs, customer outcomes, and commercial priorities. * Ensure platform design supports use of AI at enterprise scale, including context, semantics, and metadata. * Lead planning and execution of platform milestones, balancing near-term delivery with long-term scalability and maintainability. * Implement and enforce engineering lifecycle standards, code quality practices, release discipline, and operational readiness criteria. * Drive modern software engineering practices, including CI/CD, automated testing, observability, and risk-based release governance. * Establish measurable engineering KPIs (for example reliability, throughput, quality, and adoption) and use them to guide decisions. * Cross-Functional Leadership and Customer Outcome Focus * Partner with Product Management to translate strategic priorities into executable technical plans and roadmap trade-offs. * Collaborate with functional partners to ensure tooling supports compelling, accurate, and scalable solution creation and evolution. * Align with producing and consuming application teams on data contracts, adoption milestones, and readiness criteria for Solution Data Repository ingestion. * Work in parallel with a tool suite architect who has knowledge of product design tools.