Senior Data Architect

Senior Data Architect

About the Role

We are seeking a Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. In this role, you will architect scalable data solutions that integrate Salesforce CRM, ERP systems, and operational data into a modern Databricks Lakehouse platform, enabling trusted business insights, analytics, and AI-driven decision-making.

Key Responsibilities

• Design and implement enterprise-wide data architecture and data models across CRM, ERP, and business systems.
• Lead the development and optimization of Databricks Lakehouse architecture using Bronze, Silver, and Gold data layers.
• Architect and maintain Salesforce data models, integration frameworks, and customer data strategies.
• Establish data governance, master data management (MDM), and data quality standards.
• Design scalable ETL/ELT pipelines and data integration solutions.
• Partner with business and technical stakeholders to translate business requirements into data solutions.
• Support analytics, reporting, and AI/ML initiatives through high-quality, accessible data.
• Drive best practices for DataOps, CI/CD, and data-as-code methodologies.

Required Qualifications

• 7+ years of experience in Data Architecture or related leadership roles.
• Strong hands-on experience with Databricks, including Lakehouse Architecture, Delta Lake, Unity Catalog, and Medallion Architecture.
• Proven expertise in Salesforce Data Architecture, including data modeling, object relationships, integration patterns, and CRM data design.
• Experience designing enterprise-scale data models and data integration frameworks.
• Advanced SQL and data modeling skills.
• Experience integrating Salesforce with ERP platforms such as Sage Intacct, NetSuite, Workday, SAP, or Oracle.
• Strong understanding of data governance, data quality, and Master Data Management (MDM).
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience supporting AI/ML and advanced analytics initiatives.
• Exposure to event-driven and real-time data architectures.
• Experience with Git, CI/CD pipelines, and DataOps practices.
• Experience in SaaS or high-growth technology environments.

Must-Have Skills

✅ Salesforce Data Architecture

✅ Databricks Lakehouse Architecture

Candidates without strong experience in both Salesforce Data Architecture and Databricks will not be considered.