Enterprise Data Architect

Requirements:

• Bachelors 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 a related discipline, including designing enterprise-scale data architecture and 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 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, and to communicate technical concepts to technical and non-technical stakeholders.
• Experience supporting enterprise reporting, semantic modeling, KPI development, dashboard solutions, and self-service analytics.
• Experience in financial services, banking, credit unions, fintech, or another regulated industry is preferred.
• Relevant certifications in data architecture, cloud platforms, database technologies, data governance, or analytics are desirable.
• The role is primarily office-based or hybrid; occasional evening or weekend work may be needed for implementations, testing, upgrades, or production issues.
• The role involves regular sitting, hand use, reaching, and verbal communication, with occasional standing, walking, and lifting objects up to 25 pounds. Close and distance vision and focus adjustment are required. Reasonable accommodation may be available.

Responsibilities:

• Define, design, implement, and govern our enterprise data architecture, serving as the technical authority for data architecture, integration, governance, quality, reporting, and analytics enablement.
• Establish enterprise data standards and best practices to keep data secure, accurate, accessible, consistent, and aligned with business objectives.
• Work with business leaders, technology teams, Information Security, Compliance, and third-party partners to support reporting, analytics, operational decisions, and strategic initiatives.
• Design, implement, and maintain data architectures, models, warehouses, reporting layers, data marts, analytics environments, and integration platforms.
• Develop and maintain architecture roadmaps that reflect organizational strategy, modernization, security, compliance, and business priorities.
• Set standards for data modeling, naming, business definitions, metadata, lineage, master and reference data, integration, and data quality.
• Assess existing data environments and recommend improvements to scalability, reliability, performance, maintainability, and usability.
• Translate business needs into data designs, physical models, source-to-target mappings, structures, and technical specifications.
• Partner with application, infrastructure, security, compliance, and business teams to ensure data solutions are well designed, documented, integrated, and governed.
• Support and advance enterprise data governance policies, standards, processes, and decision rights; document data ownership, stewardship, business rules, critical data elements, systems of record, retention, classification, and access standards.
• Improve data accuracy, completeness, consistency, timeliness, and trust through measurable quality rules and controls; establish monitoring, escalation, and remediation processes.
• Support audit, regulatory, privacy, and compliance requirements for enterprise data management.
• Design ETL/ELT frameworks, data pipelines, APIs, batch and real-time integrations, and enterprise data exchange patterns.
• Architect and review data flows among core systems, third-party applications, reporting environments, warehouses, and analytics platforms; optimize structures, queries, pipelines, and reporting layers.
• Evaluate and recommend improvements to cloud data platforms, warehouses, lakes, lakehouses, BI semantic layers, and integration tools.
• Establish pipeline standards for monitoring, logging, error handling, recovery, documentation, and operational support.
• Design and support enterprise reports, dashboards, KPIs, semantic models, and analytics solutions using governed, validated, documented data sources.
• Set standards for metrics, measures, calculations, dashboard design, semantic modeling, and self-service analytics; work with stakeholders to develop scalable solutions.
• Reduce duplicate reporting and inconsistent definitions by promoting shared metrics and governed data assets.
• Align data architecture and reporting with information security, privacy, audit, and regulatory requirements; establish access, classification, encryption, retention, monitoring, and audit controls with Information Security and Compliance.
• Support secure handling of sensitive, confidential, member or customer, financial, and operational data, and maintain documentation for audits, examinations, regulatory reviews, risk assessments, and internal controls.
• Comply with applicable laws and our policies, procedures, and standards; develop knowledge of our mission, values, structure, products, services, and operations.
• Pursue ongoing professional development, build collaborative relationships with members, associates, leaders, and business partners, and demonstrate professionalism, accountability, adaptability, and commitment to excellence.
• Support our service, collaboration, continuous improvement, and operational effectiveness goals; contribute to organizational initiatives and carry out other assigned responsibilities.

Technologies:

• Architect
• Business Intelligence
• Cloud
• ETL
• Support
• SQL
• Security

More

We are seeking an Enterprise Data Architect reporting to our Director of Information Systems. This exempt position provides technical leadership for enterprise data architecture and helps enable business intelligence, analytics, and organizational decision-making. The role is primarily office-based or hybrid, with occasional evening or weekend work to support implementations, testing, upgrades, or production issues. A laptop and hybrid work are provided, and cell phone reimbursement is available. We are an equal opportunity employer and welcome veterans and people with disabilities.

last updated 43 week of 2026