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Job Category
Customer Success
Job Details
About Salesforce
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The 'SF Data Cloud Architect' plays a critical role within Salesforce's Professional Services team, assisting in pre-sales and leading the design and implementation of enterprise-grade Data Management solutions. This position is responsible for architecting scalable solutions across enterprise landscapes using Data Cloud, ensuring data is ready for enterprise AI, applying data governance guardrails as well as supporting enterprise analytics and automation. This role covers ANZ, ASEAN and India markets.
The ideal candidate brings deep expertise in data architecture, project lifecycle and Salesforce ecosystem knowledge. Combined with strong soft skills, stakeholder engagement and technical writing ability. You will collaborate with cross-functional teams to shape the future of customer's data ecosystem and enable data excellence at scale
Key Responsibilities
Salesforce Data Cloud Trusted Advisor: Be a trusted SME for Data Cloud to support and lead project delivery and customer engagements during pre-sales cycle. Including how Data Cloud relates to the success of AI
Architecture Support: Provide Data and System Architecture guidance to Salesforce Account teams and Customers by reviewing proposed architecture. Also peer review project effort estimates, scope and delivery considerations
Project Delivery: Work on cross-cloud project delivery and lead the data and analytics stream, spear-heading Data Cloud Design & Delivery. Ability to work collaboratively with cross-functional teams from Developer to Executive
Data Architecture: Design and guide customer's enterprise data architecture aligned to business goals. Highlight the importance of Data Ethics and Privacy by ensuring that customer solutions adhere to relevant regulations and best practices in data security and privacy
Data Cloud Enablement: Lead Data Cloud architecture enablement for key domains and cross cloud teams
Analytics Support: Collaborate with analytics and AI teams to ensure data readiness for advanced analytics, reporting, and AI/ML initiatives
Stakeholder Engagement: Work cross-functionally across multiple Salesforce teams and projects to deliver aligned and trusted data solutions. Facilitate and influence Executive Customer stakeholders while aligning technology strategy to business value and ROI. Build strong relationships with both internal and external teams, contributing to broader goals and growth
Documentation: Create and maintain high-quality architecture blueprints, design documents, standards, and technical guidelines
Technical Skills
15+ years in data architecture or consulting, with solution design and project delivery experience
Deep knowledge in MDM, Data Distribution and Data Modelling concepts
Expertise in data modelling with strong understanding of metadata and lineage
Experience in executing data strategies, landscape architecture assessments and proof-of-concepts
Excellent communication, stakeholder management and presentation skills
Strong technical writing and documentation ability
Basic understanding of Hadoop spark fundamentals is an advantage
Understanding of Data Platforms (example: Snowflake, DataBricks, AWS, GCP, MS Azure)
Experience with tools such as Salesforce Data Cloud, or similar enterprise Data platforms - Hands on deep Data Cloud experience is a strong plus
Working knowledge of enterprise data warehouse, data lake and data hub concepts
Strong understanding of Salesforce Products and functional domains such as Technology, Finance, Telco, Manufacturing and Retail is a positive
Expected Qualification
Salesforce Certified Data Cloud Consultant - Highly Preferred
Salesforce Data Architect - Preferred
Salesforce Application Architect - Preferred
* AWS Spark/ DL, Az DataBricks, Fabric, Google Cloud, Snowflakes, or similar - Preferred
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Posting Statement
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