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Solution Engineer, Data Cloud

Global leader in CRM and cloud-based enterprise software solutions
Munich, Germany40 Düsseldorf, GermanyBerlin, Germany
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS · AI

Job Description

Salesforce is seeking a Solution Engineer for their Data Cloud team, focusing on delivering customer success through the integration of Data, AI, CRM, and Trust. This role represents a unique opportunity to work with Salesforce's flagship innovation and hyperscale data platform. The position combines executive-level engagement with deep technical expertise, requiring candidates to bridge sophisticated customer data architectures with business value delivery.

The role involves working closely with Account Executives to develop and implement industry-specific use cases, while maintaining deep technical knowledge of data architecture, AI/ML, and modern cloud platforms. The ideal candidate will have experience with hyperscale data providers like AWS, Azure, or GCP, and possess expertise in modern data platforms such as Snowflake, Databricks, and BigQuery.

Key aspects of the role include conducting technical discovery sessions, developing scalable technical assets, and advocating for customer needs in product development. The position requires strong communication skills to articulate complex technical concepts to both business and technical stakeholders, along with the ability to demonstrate ROI for data and AI initiatives.

This is an excellent opportunity for experienced professionals who understand the latest trends in data architecture, including Lakehouses, data governance, LLMs, and Agents. The role offers the chance to work with cutting-edge technology while driving business transformation for Salesforce customers. Success in this position requires a unique blend of technical depth, business acumen, and customer-facing skills.

Last updated a day ago

Responsibilities For Solution Engineer, Data Cloud

  • Conduct in-person & web-based meetings to drive technical opportunity lifecycle
  • Collaborate with Account Executives to develop Industry-specific use cases
  • Implement programs to scale technical evaluation of Salesforce Data Cloud
  • Collaborate with product teams on solution understanding and roadmap
  • Develop scalable technical assets for field enablement
  • Partner with Product Marketing on messaging and sales plays
  • Deliver Salesforce point-of-view for data strategy
  • Articulate Data & AI ROI value to Business

Requirements For Solution Engineer, Data Cloud

Python
  • Experience in customer-facing solutioning for Data, Analytics, AI and CRM
  • Full-stack technical qualifications in CRM, Data Architecture, AI/ML
  • Understanding of Lakehouses, Data Governance, LLMs, Agents
  • Experience integrating complex data architectures
  • Experience in Hyperscale Data providers (AWS, Azure, GCP)
  • Expertise in modern cloud data platforms
  • Technical knowledge of the Salesforce platform
  • Experience in data wrangling, machine learning, Vector Databases & RAG, MLOps

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