via DailyRemote
$100K - 140K a year
Design and implement end-to-end data architecture using Salesforce Data Cloud and integrate with various Salesforce clouds and external systems, ensuring data quality, security, and alignment with business needs.
Requires deep expertise in Salesforce Data Cloud, CRM Analytics, Salesforce platform, data modeling, integration tools, cloud platforms, programming in SQL, Python, Apex, and relevant Salesforce certifications.
• Salesforce Data Cloud, CRM Analytics, Salesforce Data Models Roles and Responsibilities: • Solution Design & Architecture Implementation & Integration Design end-to-end data architecture using Salesforce Data Cloud, integrating with various Salesforce clouds (Sales, Service, Marketing, etc.) and external systems. • Define data models, ingestion pipelines, identity resolution strategies, and activation mechanisms. Ensure alignment with enterprise data governance and security standards. • Lead the implementation of Data Cloud features including data ingestion, harmonization, segmentation, and activation. • Collaborate with integration teams to connect external data sources (e.g., AWS, Azure, Snowflake, Mulesoft). • Oversee ETL/ELT processes and ensure data quality and consistency. • Work with business analysts, marketers, and data scientists to understand data needs and translate them into technical solutions. • Provide guidance and best practices to development teams and ensure adherence to architectural standards. • Monitor system performance and optimize data flows and queries. • Implement scalable solutions to handle large volumes of customer data. • Create architectural documentation, data flow diagrams, and technical specifications. • Train internal teams on Data Cloud capabilities and usage. • Technical Competencies Deep understanding of Salesforce Data Cloud (CDP), CRM Analytics, Marketing Cloud, and core Salesforce platform. • Experience with Salesforce data models, APIs, and integration patterns. • Strong knowledge of data modeling, data lakes, data warehouses, and real-time data processing. • Experience with identity resolution, data harmonization, and segmentation strategies. • Proficiency in tools like Mulesoft, Informatica, Talend, or custom ETL solutions. • Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and data connectors. • SQL, Python, Apex, and familiarity with JSON, XML. Experience with data visualization tools (Tableau, CRM Analytics). • Understanding of data privacy regulations (GDPR, CCPA) and Salesforce Shield. • Experience implementing role-based access controls and encryption. Certifications: • Salesforce Certified Data Cloud Consultant (Preferred) • Salesforce Certified Integration Architecture Designer. • Salesforce Certified Application Architect or System Architect.
This job posting was last updated on 12/10/2025