Pre-sales Solutions Architect (Manufacturing, Defence & Automotive)

The shape of it

In the posting’s own words

You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

What it asks for · 8

• Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI.
• Demonstrated ability to architect end-to-end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc.
• Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark.
• Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).
• Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs).
• Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions.
• Experience in the full pre-sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives).
• A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams.

Also a plus

• Databricks or other relevant Cloud/Data certifications.
• Experience working within the Manufacturing, Defence or Automotive sectors.

What the job covers

• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

Tools and skills named

Words the posting leans on

• customers8×
• data8×
• technical8×
• platform5×
• experience4×
• expertise4×
• solution4×
• value4×
• architecture3×
• automotive3×
• core3×
• field3×
• manufacturing defence3×
• pre-sales3×
• account2×
• and/or2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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