Senior Data Cloud Architect

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Job Category

Customer Success

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

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
  
  

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.