Principal, Data Cloud Solution Engineer

Salesforce - San Francisco, CA

Full-time - Principal

San Francisco, CA

Publishing Industries

About the position

The Principal, Data Cloud Solution Engineer at Salesforce is a pivotal role focused on delivering customer success through innovative data solutions. This position combines technical expertise with executive-level presence to drive the adoption of Salesforce Data Cloud, a flagship innovation within the company. The role involves collaborating with various teams to develop industry-specific use cases and ensuring that the Data Cloud integrates seamlessly with complex customer data architectures.

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 to prioritize and develop industry-specific use cases grounded in consistent architectures.
• Implement programs to efficiently scale technical evaluation of Salesforce Data Cloud.
• Collaborate with Salesforce product teams to understand solutions and advocate for key features needed for success.
• Develop scalable, deployable, reusable, and relevant field enablement technical assets to drive business outcomes.
• Partner with Product Marketing to advise messaging and sales plays across Salesforce.
• Deliver the overall Salesforce point-of-view for data strategy aligned to industry-specific use cases.

Requirements

• Experience in customer-facing solutioning for Data, Analytics, AI, and CRM.
• Full-stack technical qualifications in CRM, Data Architecture, AI/ML with experience owning technical relationships with C-Level executives.
• Experience integrating complex data architectures to drive business value for customers.
• 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.

Nice-to-haves

• Hands-on expertise in modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift).
• Experience with data analytics tools (Tableau, Looker, Power BI).
• Knowledge of data programming models (DataFrames, pandas) and AI (Python, R, Jupyter Notebooks).
• Technical knowledge of the Salesforce platform.

Benefits

• Flexible work environment
• Career growth opportunities
• Innovative and dynamic work culture