Enterprise Data Architect

Enterprise Data Architect Title: Enterprise Data Architect Reports to: Director of Information Systems Supervises: NA Status: Exempt Objective 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. Duties and Responsibilities Enterprise Data Architecture - 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 Data Governance and Data Management - 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 Data Integration and Platform Architecture - 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 Business Intelligence and