Position
Enterprise Data & Intelligence Architect
Job Code-8610
req5799
Delta Community Credit Union Administrative Office - Riverwood 200
Full Time

Job Description
Create your success story at Delta Community Credit Union – where opportunity meets purpose. Through our commitment to excellence, Delta Community has received numerous industry awards and earned the trust and loyalty of our employees, members and the metro Atlanta community. We value talent, encourage growth and keep community at the heart of everything we do. That’s why we’re one of Atlanta’s Best Places to Work! Whether you’re starting your professional journey or navigating the next step in your career, we invite you to join the Delta Community Credit Union team.

The Enterprise Data & Intelligence Architect reports to the VP, Information Management & Analytics (IM&A) and leads the evolution of enterprise data architecture at DCCU. This role is accountable for strengthening enterprise data foundations through domain-aligned modeling, semantic consistency, master data cohesion, and long-term architectural flexibility. The Enterprise Data & Intelligence Architect provides architectural leadership in executing DCCU’s long-term data and analytics strategy by designing enterprise data structures that enable reliable analytics, cross-domain interoperability, and Member 360 enablement.

Working in close partnership with Data Engineering, Analytics, IT, and business teams, this role establishes architectural standards, applies pragmatic design principles, and modernizes DCCU’s enterprise data capabilities while ensuring alignment with governance, security, and regulatory requirements.

Essential Functions:
• Provide architectural direction and oversight for enterprise data initiatives, ensuring consistent enterprise entity modeling and domain alignment across analytics use cases.
• Lead the rationalization and modernization of enterprise data structures to improve semantic consistency, reduce duplication, and strengthen cross-domain interoperability.
• Define and govern enterprise data architecture frameworks, including standards, principles, patterns, and reference models.
• Own enterprise data modeling standards (conceptual, logical, dimensional, and physical) to ensure enterprise entity consistency, semantic clarity, master data alignment, and long-term sustainability.
• Define and formalize enterprise semantic modeling standards to ensure consistent representation of core business entities and their relationships (e.g., Member–Account–Channel–Interaction).
• Architect the structural foundation required to enable a unified Member 360 view, including consistent modeling of transactions, interactions, lifecycle states, and cross-channel relationships.
• Develop phased architectural roadmaps that strengthen domain alignment and support the evolution from reporting-centric models to reusable enterprise data foundations.
• Produce and maintain architecture artifacts that support business objectives, financial outcomes, data security, privacy, and regulatory requirements.
• Partner with enterprise architecture, solution architecture, and IT teams to maintain alignment within the broader enterprise architecture framework.
• Coordinate with Information Security, Privacy, and Regulatory Compliance teams to ensure architectural alignment with governance and risk requirements.
• Evaluate emerging data architecture patterns and apply them pragmatically based on organizational maturity and business value.
• Act as the architectural partner to data and analytics product owners, providing design guidance for enterprise data solutions.
• Lead periodic data architecture capability assessments and provide recommendations to advance DCCU’s architecture maturity.

Other
• This description reflects management’s assignment of essential functions, it does not prescribe
or restrict the tasks that may be assigned.
• This job description is subject to change at any time.

Position may offer work from home opportunities, pending specific performance and departmental needs.

Job Qualifications
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Required Minimum Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, Information Systems, Engineering, Statistics, Mathematics, or a related field.
• 8+ years of experience working in enterprise-scale data environments, including relational and analytical platforms.
• 5+ years of experience designing and governing enterprise data architectures in support of analytics and decision-support use cases.
• Demonstrated expertise in enterprise data modeling (conceptual, logical, dimensional, and physical models).
• Experience standardizing core enterprise entities (e.g., Member/Customer, Account, Product, Channel) across multiple data domains.
• Experience improving conformance and reducing structural duplication across enterprise data environments.
• Experience designing enterprise data structures that support cross-domain analytics and reusable data assets.
• Experience working within cloud-based or hybrid data platforms with attention to scalability, performance, governance, and cost considerations.
• Strong fluency in SQL for data model validation and architectural review.
• Solid understanding of modern data architecture patterns, including data warehouses, lakehouses, and domain-oriented approaches.
• Experience supporting master or reference data management initiatives within enterprise environments.
• Familiarity with data security, privacy, and governance principles within regulated environments.
• Working knowledge of advanced analytics concepts and the ability to translate analytic requirements into sound data modeling decisions.
• Complies with all Credit Union policies and procedures including those related to Bank Secrecy Act regulations.

Preferred Qualifications:
• Master’s degree in a related technical or quantitative field.
• 10+ years of experience leading or influencing enterprise-scale data architecture initiatives in complex environments.
• 8+ years of experience in Banking, Financial Services, or other highly regulated industries.
• Experience applying enterprise semantic and domain-based modeling practices to support cross-domain analytics and Member 360 enablement.
• Experience establishing enterprise semantic modeling standards or canonical entity frameworks.
• Experience supporting master data alignment or Customer/Member 360 initiatives.
• Professional certifications related to cloud architecture, data architecture, or enterprise architecture.