Description

You will design and govern enterprise data architecture to support complex business entities and system integrations.

This role is hybrid.

Responsibilities

• Develop conceptual, logical, and physical data models for complex client hierarchies and business rules.
• Establish and enforce enterprise-wide governance processes, naming conventions, and metadata standards.
• Support Master Data Management (MDM) practices including reconciliation, deduplication, and source system integration.
• Build canonical models and Data-as-a-Service (DaaS) models using SOA principles.
• Implement processes to monitor data quality, security, and compliance with privacy regulations.

Required Skills

• 10+ years of experience in enterprise data modeling (conceptual, logical, and physical).
• Hands-on experience with Snowflake, Azure Synapse, and Databricks.
• Strong proficiency in SQL.
• Experience with programming languages such as Python, R, or Scala.
• Deep understanding of Master Data Management (MDM) tools and practices.
• Knowledge of SOA, canonical models, and Data-as-a-Service (DaaS) architectures.
• Experience managing metadata, data standards, and reconciliation rules.
• Solid knowledge of data privacy practices and security compliance.

Preferred Skills

• Experience with data profiling and analysis to optimize models and resolve system integration challenges.
• Background in Cloud Computing and Windows Azure ecosystems.
• Ability to work effectively in a hybrid office environment in Richmond, VA.

Key Skills

Education

Any Gradute