Solutions Architect (Pre-sales) - Utilities/Energy

Databricks · Tokyo, Japan · Field Engineering - Other · listed August 3, 2026

The shape of it

Seniority
Principal
Where
Not stated
Requirements listed
12
Length
782 words

In the posting’s own words

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

What it asks for · 12

  • Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
  • You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background
  • You will be working with our Utilities customers , focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.
  • You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands-on proof points that accelerate confidence.
  • You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments.
  • Ability to influence influential decision-makers through developing relationships and orchestrating teams to achieve long-term success for customers.
  • Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark.
  • Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google.
  • Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape.
  • Nice to have: Databricks Certification
  • Business professional fluency in Japanese is required.
  • Business-level English proficiency is a plus.

What the job covers

  • Engage with some of Databricks’ most complex customers to help them achieve their unified platform goals.
  • Develop and execute customer engagement strategies in partnership with the Account Executive in your designated accounts.
  • You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd-party applications, ensuring they are excited about the Databricks vision and solution strategy.
  • Be a 'champion’ for both customers and colleagues, operating as a solution architect and trusted advisor for data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
  • Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

Degree language

  • You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments.

Tools and skills named

Data
  • Databricks8×
  • Data warehouse2×
  • Experimentation
  • Spark
Cloud & infra
  • AWS
  • Azure
Languages
  • Python
  • SQL
Models & research
  • Machine learning
Ways of working
  • Cross-functional

Words the posting leans on

  • customers14×
  • data9×
  • platform9×
  • complex6×
  • solutions6×
  • technical5×
  • account4×
  • achieve3×
  • business3×
  • challenges3×
  • data intelligence3×
  • engage3×
  • engagement3×
  • intelligence platform3×
  • analytics2×
  • architect2×

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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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.