Principal, Data Cloud Solution Engineer

4 days ago

London, United Kingdom SalesForce Full time
Delivering customer success with Data + AI + CRM + Trust is the unique value proposition for Salesforce and the Customer 360 Platform.

Salesforce Data Cloud is focused on next-generation technology at Salesforce and the flagship innovation and hyperscale data platform built natively into Salesforce.
We are creating a dynamic, constantly evolving environment where expertise in design, and technology is demonstrated every day to drive innovation.

As an SE in Salesforce Data Cloud you will bring a unique combination of executive-level presence combined with full-stack technical skills that ensure Data Cloud delivers value to customers integrated with complex customer data architectures

Key Responsibilities
  • Arrange and conduct in-person & web-based meetings to drive the entire opportunity lifecycle from technical discovery to technical close
  • Collaborate strategically with Account Executives across the customer base and the sales organization to prioritize and develop Industry-specific use cases grounded in consistent architectures that have proven repeatability with customers
  • Implement programs to efficiently scale technical evaluation of Salesforce Data Cloud
  • Collaborate with Salesforce product teams to deeply understand Salesforce solutions and roadmap, and advocate for key features needed for success across the Industry/Territory via Voice of the Customer feedback
  • Develop scalable, deployable, reusable, and relevant field enablement technical assets that drive differentiated business outcomes in order to accelerate adoption across customers, partners, and sales teams
  • Partner with Product Marketing to advise messaging and sales plays across all of Salesforce
  • Deliver the overall Salesforce point-of-view for data strategy aligned to industry-specific use cases
  • Experience in articulating Data & AI ROI value to Business & getting the IT buy in
  • Industry domain experience relevant to Data architecture approaches and knowledge in mapping business capabilities to technical capabilities
  • Aware of latest trends in industry including Lakehouses, data governance, LLMs, Agents


Essential Requirements
  • Experience in customer-facing solutioning for Data, Analytics, AI (ML/RAG) and CRM
  • Full-stack technical qualifications (CRM, Data Architecture, AI/ML) combined with experience owning technical relationships with C-Level executives
  • Experience integrating complex data architectures to drive business value for customers
  • Experience in 1 or more Hyperscale Data providers (ex. AWS, Azure, GCP)
  • Skilled at guiding impactful discovery conversations to unveil multifaceted client needs and objectives
  • Experience driving customer success in large, complex selling organizations
  • Persuasive verbal, written, presentation and interpersonal communication skills that inspire change in large organizations
  • Fluent in English

Preferred Requirements
  • Understanding market trends in consumption selling business and experience in driving consumption through value use cases
  • Hands-on expertise in modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI
  • AI: Data Engineering, machine learning, Vector Databases & RAG, MLOps (a plus: Agentic AI and Agents)
  • Technical knowledge of the Salesforce platform
  • Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)

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