Data Cloud Architect

As a SF Data Cloud Architect at Salesforce's Professional Services team, you play a critical role in assisting pre-sales activities and leading the design and implementation of enterprise-grade Data Management solutions. Your primary responsibility is to architect scalable solutions across enterprise landscapes using Data Cloud, ensuring data readiness for enterprise AI, applying data governance guardrails, and supporting enterprise analytics and automation. This role spans across the ANZ, ASEAN, and India markets. **Key Responsibilities:** - Act as a trusted advisor for Salesforce Data Cloud - Provide architectural support to Salesforce Account teams and Customers - Lead cross-cloud project delivery - Design enterprise data architecture aligned with business goals - Enable Data Cloud architecture for key domains - Collaborate with analytics and AI teams - Engage stakeholders effectively - Create and maintain high-quality architecture blueprints and design documents **Qualifications Required:** - Over 15 years of experience in data architecture or consulting - Expertise in MDM, Data Distribution, Data Modelling, and metadata - Experience in executing data strategies, landscape architecture assessments, and proof-of-concepts - Excellent communication, stakeholder management, presentation, technical writing, and documentation skills - Basic understanding of Hadoop Spark fundamentals and familiarity with Data Platforms like Snowflake, DataBricks, AWS, GCP, MS Azure, and Salesforce Data Cloud - Working knowledge of enterprise data warehouse, data lake, data hub concepts, and Salesforce Products across different functional domains In addition to the technical skills mentioned, holding certifications such as Salesforce Certified Data Cloud Consultant, Salesforce Data Architect, and Salesforce Application Architect is ideal. Additional certifications in AWS, Spark/DL, DataBricks, Google Cloud, Snowflake, or similar platforms are preferred to excel in this role.,