Enterprise Data Architect

The Enterprise Data Architect is responsible for defining, governing, and evolving the organization’s enterprise-wide data architecture to enable business strategy, digital transformation, and advanced analytics. The role ensures that data is treated as a strategic asset by establishing standards, models, and architectures that support scalability, interoperability, data quality, security, and regulatory compliance across all business domains.

Key Roles & Responsibilities

• Define and maintain the enterprise data architecture vision, principles, standards, and roadmaps aligned with business strategy and technology direction
• Design and govern conceptual, logical, and physical data models across enterprise domains
• Establish and oversee enterprise-wide data platforms, including data warehouses, data lakes, lakehouse, and analytics ecosystems
• Ensure consistent data integration, interoperability, and reuse across systems and applications
• Lead the definition and implementation of data governance frameworks, including data ownership, stewardship, quality, metadata, lineage, and lifecycle management
• Embed data security, privacy, and regulatory compliance (e.g., data residency, retention, access control) into all data architectures
• Partner with business leaders, product owners, and domain teams to translate business requirements into scalable data solutions
• Provide architectural guidance and design assurance for data initiatives, programs, and projects
• Evaluate and recommend data technologies, tools, and platforms, including cloud-native and AI-enabled solutions
• Drive standardization and best practices for data engineering, analytics, and integration patterns
• Support advanced analytics, AI/ML, and self-service BI use cases through robust and well-governed data foundations
• Identify and mitigate architectural risks, technical debt, and data-related dependencies
• Mentor and guide data architects, data engineers, and delivery teams to ensure architectural consistency and quality
• Collaborate with enterprise, solution, and security architects to ensure end-to-end architectural alignment
• Measure and report on data architecture effectiveness, maturity, and value realization

Qualifications & Experience

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field
• Master’s degree in a relevant discipline is preferred
• 10+ years of experience in data architecture, data engineering, or enterprise architecture roles. Proven experience designing and implementing enterprise-scale data architectures (on-premise, cloud, or hybrid)