Sr. Consultant, Data Governance Modeling

This is a remote position.

• 3+ years of experience in a data-focused role such as Data Analyst, Analytics Engineer, BI Developer, Data Governance Analyst, or similar roles.
  
• Strong SQL skills and hands-on experience working with cloud data warehouses, ideally Snowflake
  
• Experience working with customer, account, CRM, or other complex relational datasets
  
• Ability to document and analyze data flows across multiple systems and platforms
  
• Experience creating and maintaining data dictionaries, business glossaries, data lineage documentation, and source-to-target mappings
  
• Strong understanding of data quality principles, governance frameworks, and data stewardship practices
  
• Experience validating data integrations, data transformations, and business rule implementation
  
• Familiarity with Salesforce or similar CRM platforms and their underlying data structures
  
• Working knowledge of data modeling concepts including entity relationships, primary and foreign keys, normalization, and dimensional modeling
  
• Exposure to ETL, ELT, reverse ETL, or customer data activation tools
  
• Experience supporting analytics, reporting, or business intelligence initiatives
  
• Excellent verbal and written communication skills with the ability to engage technical teams and business stakeholders
  
• Strong organizational skills, attention to detail, and ability to manage multiple priorities in a consulting environment
  

• Support the design, maintenance, and enhancement of enterprise customer and account data models within Snowflake
  
• Partner with business stakeholders to gather requirements and translate them into logical data model enhancements
  
• Document customer data entities, relationships, hierarchies, identifiers, and business definitions
  
• Create and maintain source-to-target mappings, data lineage documentation, and integration diagrams
  
• Analyze and document data movement between CRM, marketing, analytics, enrichment, and operational systems
  
• Collaborate with data engineers to define, validate, and monitor data contracts and integration requirements
  
• Perform data validation activities, including reconciliation, quality checks, referential integrity testing, and completeness reviews
  
• Establish and maintain data quality standards, governance processes, and data stewardship practices
  
• Develop and maintain data dictionaries, business glossaries, and standardized field definitions
  
• Coordinate investigation and resolution of customer data quality, consistency, and completeness issues
  
• Support analytics and reporting teams by ensuring customer data assets meet business and operational needs
  
• Promote data standards, naming conventions, and governance best practices across teams
  
• Educate business users and analysts on available customer data assets and their intended use
  
• Facilitate collaboration among business stakeholders, architects, engineers, and analytics teams to improve customer data management and governance outcomes
  

Celebrated by Inc. 5000 for our rapid growth and award-winning workplace, Main Digital invites you to be a part of our collaborative and forward-thinking team. As a Certified Women-Owned Small Business, we champion diversity in tech. Our diverse teams combine management consulting expertise, innovative digital design, and advanced product engineering. Driven by our six core values, we lead in intelligent automation, platform technologies, and Agile methodologies to create unparalleled digital experiences. Join us as we empower people to create new possibilities through process and technology, reimagining the ways of work and enhancing experiences with digital transformation.