AI & Agentic Automation

Role Description The Salesforce Data Cloud Architect will be responsible for designing and implementing solutions using Salesforce Data Cloud, managing data ingestion, and optimizing data models. - Salesforce Data Cloud (Old & New Ecosystem) - Design and implement solutions using Salesforce Data Cloud (formerly CDP / Genie) - Work extensively with Data Streams, Data Lake Objects (DLOs), Unified Profiles, Calculated Insights, and Identity Resolution - Manage ingestion of structured and semi-structured data from Salesforce and external platforms - Optimize data models and performance across both legacy CDP concepts and modern Data Cloud capabilities - Einstein AI & Predictive Capabilities - Implement Einstein Prediction Builder / Einstein AI using Data Cloud unified data - Build and deploy predictive models such as propensity scoring, churn prediction, and segmentation intelligence - Enable AI-driven insights and personalization use cases leveraging Data Cloud - SQL & Data Engineering - Strong hands-on experience with SQL for: - Calculated Insights - Data transformation and validation - Performance optimization - Solid understanding of analytical and relational data modelling - Integrations - Design and implement integrations between Salesforce Data Cloud and: - External data platforms (Snowflake, BigQuery, AWS, Azure, etc.) - Third-party systems using APIs and connectors - Experience with middleware tools (MuleSoft preferred) - Ensure secure, scalable, and reliable data flows Qualifications - Bachelor’s degree in computer science, IT, Engineering, or equivalent experience - 6+ years of experience in the Salesforce ecosystem - 3+ years hands-on experience with Salesforce Data Cloud (formerly CDP / Genie / Customer 360 / Data 360) - Strong expertise in Data Cloud architecture, Agentforce, Marketing Cloud, SQL, and Einstein Prediction AI - Experience with external data integrations and Salesforce Marketing Cloud activation Requirements - Salesforce certifications in Data Cloud, AI /Data 360, Agentforce, Advanced Admin - Marketing Cloud is a nice addition - Good working knowledge of Salesforce and Marketing Cloud, Tableau Next, Salesforce Service Cloud, Agentforce - Experience with cloud data platforms (Snowflake, BigQuery, AWS, Azure) - Knowledge of MuleSoft or similar integration tools - Understanding of data privacy, consent management, and governance - Experience with real-time personalization and cross-cloud activation Soft Skills - Strong communication and stakeholder management abilities - Strategic thinker with problem-solving and analytical mindset - Ability to mentor junior engineers and contribute to team development - Proven experience in leading cross-functional teams Benefits - Commitment to professional growth from day one - Culture of continuous learning, mentorship, and hands-on projects - Performance bonuses and public recognition - Collaboration with diverse teams on international projects - Transparency, trust, and work-life balance