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Highly specialized, senior Salesforce data architect role reduces applicant density despite metro location.
High because role requires deep Salesforce platform and LDV expertise, limiting cross-industry transferability.
Very high due to explicit 15+ years, Salesforce Data Architect requirement, certifications, and specialized LDV/migration skills.
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Own the enterprise data strategy for Salesforce platform across multiple clouds including data modeling, governance, migration, and lifecycle management.
Design scalable data models and architect solutions for handling large data volumes including indexing, partitioning, and query optimization.
Lead data migration strategies and define integration data contracts while ensuring data security and compliance with regulations like GDPR and HIPAA.
15+ years in data architecture with at least 5 years focused on Salesforce data architecture.
Expertise in Salesforce data modeling, SOQL/SOSL optimization, Big Objects, and External Objects.
Hands-on experience with ETL tools such as Informatica, Talend, Data Loader, MuleSoft, or Boomi.
Familiarity with data privacy regulations and Salesforce Shield; formal Salesforce Data Architect certifications preferred but not mandatory.
Experienced in enterprise-scale Salesforce implementations including multi-cloud and multi-org environments.
Proficient in complex data migration and integration scenarios involving large data volumes and relational databases.
Strategic thinker capable of defining data governance, security architectures, and mentoring technical teams on data best practices.