Design Unified Data Models: Create conceptual, logical, and physical models that connect customer, product, and financial data across systems
Lead Lakehouse Architecture: Define and scale Databricks architecture (Bronze/Silver/Gold layers) to support analytics and AI/ML use cases
Drive Data Consistency & Quality: Establish “golden record” standards, data governance, and proactive data quality frameworks
Enable Lead-to-Cash Visibility: Align CRM and ERP data to support accurate revenue recognition and end-to-end business insights
Support M&A Integration: Develop scalable data onboarding patterns to integrate acquired company data efficiently
Power Business Insights: Enable use cases across Sales, Product, Support, and Finance through integrated, high-quality data
Modernize Data Practices: Implement data-as-code, CI/CD for data pipelines, and real-time/event-driven data architecture

5+ years of experience in a senior data architecture role, with strong expertise in cloud data platforms (e.g., Databricks, lakehouse environments)
Proven experience designing and implementing enterprise-scale data models across multiple systems
Deep understanding of Salesforce data architecture and integration patterns
Experience working with cloud ERP systems (e.g., Sage Intacct, NetSuite, Workday) and financial data models
Strong proficiency in SQL, data modeling (ERD), and data transformation practices
Experience with data governance, data quality frameworks, and master data management
Experience in M&A environments, particularly data integration and migration strategies
Experience with Databricks Lakehouse architecture, including Unity Catalog and medallion design patterns
Ability to translate complex data concepts into clear business value for technical and non-technical stakeholders

Senior Data Architect

Key skills