Enterprise Data Architect

Responsibilities

• Enterprise Information Architecture
• Data Governance & Metadata Management
• Data Product Design & Reusability
• Data Quality Management
• AI Enablement & Semantic Layer
• Modernization & Digital Transformation Strategy
• Cross-Domain Collaboration & Stakeholder Leadership
• Regulatory Compliance (Privacy & Security)

Skills

• Snowflake / Databricks / MongoDB
• AWS / Azure / GCP
• Data Modeling / Data Warehousing / Data Marts
• Master Data Management (MDM) Tools
• Data Catalog / Data Lineage / Metadata Management
• API-first / Data Services
• Knowledge Graphs / Semantic Layer Technologies
• ETL / Data Integration Platforms
• Big Data Processing (Spark / Hadoop)
• Data Security & Privacy Tools

Qualifications

Bachelor's Degree in Computer Science, Information Systems, Systems Programming, Software Engineering, or Data Science. Preferred: Master's in Computer Science, Master's in Data Science, MBA, Master's in Information Systems, or Master of Science in Information Technology.

Industry Experience

• Public Sector
• Healthcare
• Financial Services
• Government