Salesforce Data Cloud (D360) Solution Architect

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises.

• 6+ years in data solutioning or consulting, including 2+ years delivering Salesforce-centric solutions
• Hands-on experience with Salesforce Data Cloud (D360) including data modeling, ingestion, harmonization, identity resolution, insights, and activation
• Proven track record of at least 1 full-cycle Data Cloud implementation in production
• Familiarity with advanced patterns like Zero Copy Data Federation, external connectors, and streaming activation
• Strong understanding of APIs, ETL/ELT tools, middleware (preferably MuleSoft), and enterprise data integration
• Ability to create architectural blueprints ensuring scalability, cost efficiency, and security
• Experience facilitating client workshops and working with business and technical stakeholders
• Exceptional communication skills bridging business needs and technical design
• Upper-Intermediate English; experience in Agile/Scrum environments

Nice to have:

• Salesforce certifications in Data Cloud, Marketing Cloud, or Application Architect
• Exposure to Agentforce, Copilot Studio, and AI-driven Salesforce use cases
• Knowledge of data governance frameworks and responsible AI principles
• Experience integrating Data Cloud with Salesforce Marketing Cloud and core CRM clouds

• Lead solution design for Salesforce Data Cloud, including ingestion, harmonization, identity resolution, calculated insights, segmentation, and activation
• Conduct client workshops to assess data architecture, define use cases, and align solution roadmaps
• Develop integration strategies across Salesforce and external sources using batch APIs, real-time streaming, or Zero Copy Federation with Data Lakes
• Architect activation patterns for marketing and engagement platforms (e.g., Marketing Cloud, Service Cloud) ensuring performance and data integrity
• Monitor Data Cloud credit consumption and recommend cost-optimized architectural choices
• Oversee governance for security, privacy, and consent compliance (GDPR, Right-to-be-Forgotten)
• Support estimations, technical proposals, and proof-of-concept initiatives for pre-sales and solution validation
• Collaborate across architecture, engineering, and client leadership teams for delivery
• Provide guidance and best practices to development teams for standardization and scalability

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