Enterprise Data Architect
Five Square Innovations LLC
Atlanta, GA, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$124,800 - $156,000
Working hours
Regular working hours
Job source
Tech stack
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
+8 more
Software Architecture
Software Engineering
Workflow Management Systems
Enterprise Data Management
Enterprise Application Integration
Model-Driven Development
Information Technology
Api Design
Job 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.
Requirements
- Bachelorβs 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.
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