Enterprise Data Architect

The Enterprise Data Architect is responsible for defining, designing, implementing, and governing the organization's enterprise data architecture. This role serves as the technical authority for data architecture, integration, governance, quality, reporting, and analytics enablement.

The Enterprise Data Architect establishes enterprise standards and best practices to ensure data is secure, accurate, accessible, consistent, and aligned with business objectives. Working closely with business leaders, technology teams, information security, compliance, and third-party partners, this position supports enterprise reporting, analytics, operational decision-making, and strategic initiatives.

The ideal candidate combines hands-on technical expertise with strategic thinking and demonstrated experience designing scalable data solutions, advancing data governance practices, and enabling enterprise business intelligence and analytics capabilities.

• Designs, implements, and maintains enterprise data architectures, including logical and physical data models, data warehouses, reporting layers, data marts, analytics environments, and integration platforms
• Develops and maintains enterprise data architecture roadmaps aligned with organizational strategy, technology modernization, security requirements, compliance obligations, and business priorities
• Establishes standards and best practices for data modeling, naming conventions, business definitions, metadata, lineage, master and reference data, integration, and data quality
• Evaluates existing data environments and recommends improvements that increase scalability, reliability, performance, maintainability, and usability
• Translates business requirements into logical data designs, physical models, source-to-target mappings, data structures, and technical specifications
• Partners with application, infrastructure, security, compliance, and business teams to ensure data solutions are effectively designed, documented, integrated, and governed

• Supports and advances enterprise data governance policies, standards, processes, and decision rights
• Defines and documents data ownership, stewardship responsibilities, business rules, critical data elements, system-of-record decisions, retention, classification, and access standards
• Improves data accuracy, completeness, consistency, timeliness, and trust through measurable data quality rules and controls
• Develops monitoring, issue identification, escalation, and remediation processes for data quality concerns
• Supports audit, regulatory, privacy, and compliance requirements related to enterprise data management

• Designs ETL/ELT frameworks, data pipelines, APIs, batch and real-time integrations, and enterprise data exchange patterns
• Architects and reviews data movement among core systems, third-party applications, reporting environments, data warehouses, and analytics platforms
• Optimizes data structures, queries, pipelines, and reporting layers for performance, resilience, and scalability
• Evaluates and recommends enhancements to cloud data platforms, data warehouses, data lakes, lakehouses, BI semantic layers, and integration tools
• Establishes standards for pipeline monitoring, logging, error handling, recovery, documentation, and operational support

• Designs and supports enterprise reporting, dashboards, key performance indicators, semantic models, and analytics solutions
• Ensures reporting and analytics products are built on governed, validated, and well-documented data sources
• Defines standards for metrics, measures, calculations, dashboard design, semantic modeling, and self-service analytics
• Partners with business stakeholders to identify reporting and analytics needs and translate them into scalable solutions
• Reduces redundant reporting and inconsistent definitions by promoting shared metrics and governed data assets

• Ensures enterprise data architectures and reporting solutions align with information security, privacy, audit, and regulatory requirements
• Partners with Information Security and Compliance teams to establish role-based access, data classification, encryption, retention, monitoring, and auditing controls
• Supports the secure handling of sensitive, confidential, member or customer, financial, and operational data
• Maintains documentation required for audits, examinations, regulatory reviews, risk assessments, and internal controls

• Maintains compliance with applicable laws, regulations, and KEMBA policies, procedures, and standards
• Demonstrates a comprehensive understanding of KEMBA's mission, values, organizational structure, products, services, policies, and operational procedures
• Pursues continuous professional development through ongoing training, education, certification programs, and industry learning opportunities
• Fosters professional and collaborative working relationships with members, associates, leaders, and business partners
• Exhibits professionalism, accountability, adaptability, and a commitment to excellence in all responsibilities and interactions
• Supports KEMBA's commitment to service excellence, collaboration, continuous improvement, and operational effectiveness
• Contributes to organizational initiatives and successfully executes additional responsibilities as assigned

• Bachelor's degree in Computer Science, Information Systems, Data Management, Analytics, Engineering, or a related field, or an equivalent combination of education and experience.
• Seven or more years of experience in data architecture, data engineering, data warehousing, business intelligence, analytics, enterprise data management, or related disciplines, including experience designing enterprise-scale data architecture and data solutions.
• Demonstrated expertise in enterprise data architecture, including logical and physical data modeling, data warehousing, data integration, metadata management, data lineage, master and reference data management, and reporting architecture.
• Experience designing and supporting ETL/ELT frameworks, data pipelines, APIs, and batch or real-time integration solutions.
• Strong understanding of data governance, stewardship, data quality frameworks, security controls, privacy requirements, and regulatory compliance practices.
• Experience working with relational databases, SQL, cloud data platforms, business intelligence tools, and modern analytics environments.
• Ability to translate business requirements into scalable architecture, integration, reporting, and analytics solutions while effectively communicating technical concepts to both technical and non-technical stakeholders.
• Experience supporting enterprise reporting, semantic modeling, KPI development, dashboard solutions, and self-service analytics capabilities.
• Experience in financial services, banking, credit unions, fintech, or other regulated industries preferred.
• Relevant certifications in data architecture, cloud platforms, database technologies, data governance, or analytics are desirable.

• Primarily office-based or hybrid work environment.
• Occasional evening or weekend work may be required to support implementations, testing, upgrades, or production issues.

The physical demands listed below represent those necessary to perform the essential functions of this role. Reasonable accommodation may be provided to enable individuals with disabilities to perform these functions.

The employee is regularly required to sit, use their hands, reach with arms, and communicate verbally and orally. Occasional standing, walking, and lifting of objects up to 25 pounds are required. Vision requirements include close, distance vision, and focus adjustment.

Laptop: Yes

Hybrid Work: Yes

Cell Phone Reimbursement: Yes

Vehicle Reimbursement: No

Incentive(s): No