Databricks Sales Engineer

Job Description

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We are seeking an experienced Databricks Sales Engineer to join our client, a growing Data & AI consultancy focused on delivering modern data, analytics and AI solutions.

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As a Databricks Sales Engineer, you will sit at the intersection of sales, technology and consulting , working closely with prospective customers, Databricks and internal delivery teams to design solutions, demonstrate technical capabilities and help win new business.

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This is an ideal opportunity for someone who combines strong Databricks technical expertise with the ability to communicate, present and sell complex Data & AI solutions to both technical and executive audiences.

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Key Responsibilities

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Presales & Solution Engineering

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• Partner closely with Account Executives throughout the sales cycle, from initial discovery through technical validation and close.
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• Lead technical discovery sessions to understand customer challenges, existing data environments and business objectives.
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• Design Databricks-based solutions that address customers' Data Engineering, Analytics, AI/ML and GenAI requirements.
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• Deliver compelling technical presentations, demonstrations, workshops and Proof of Concepts (POCs).
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• Translate complex technical concepts into clear business value for both technical and non-technical stakeholders.
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• Support RFPs, RFIs, proposals, Statements of Work and technical solution documentation.
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Databricks Expertise

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• Act as a technical subject-matter expert across the Databricks Data Intelligence Platform.
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• Advise customers on areas including Data Engineering, Lakehouse architecture, Delta Lake, Unity Catalog, Databricks SQL, MLflow, Mosaic AI and Generative AI.
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• Help customers understand how Databricks can modernize their existing data platforms and accelerate Data & AI initiatives.
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• Architect high-level solutions across cloud environments including AWS, Azure and/or GCP.
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• Stay current with new Databricks capabilities, product releases and developments across the wider Data & AI ecosystem.
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Customer & Partner Engagement

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• Build trusted relationships with technical stakeholders, Data Leaders, CIOs, CTOs and other senior decision-makers.
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• Work closely with Databricks Account Executives and partner teams to identify, develop and progress joint opportunities.
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• Participate in customer workshops, technical deep dives and architecture sessions.
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• Help position the consultancy as a trusted Databricks partner capable of taking customers from strategy and architecture through to implementation.
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• Provide technical credibility throughout complex enterprise sales cycles.
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Sales Enablement

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• Support Account Executives with technical qualification and opportunity strategy.
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• Develop reusable demos, solution accelerators, presentations and technical sales collateral.
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• Identify expansion opportunities within existing customers across Data Engineering, Analytics, Governance and AI.
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• Provide feedback from customers and the market to help shape new service offerings and go-to-market strategies.
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Qualifications

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• Proven experience in a Sales Engineer, Solutions Engineer, Solutions Architect or Presales Architect position.
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• Strong hands-on experience with Databricks and modern Data & AI architectures.
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• Experience supporting complex enterprise sales cycles within Data, Analytics, Cloud or AI.
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• Strong knowledge of technologies such as **Apache
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