Sr. Solutions Engineer - Hunter (New Logo)

Databricks is hiring a Sr. Solutions Engineer - Hunter (New Logo) in Tokyo, Japan. Level rates it ; you can apply on Databricks.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions MLflow, Python and SQL among its tools and skills.
Level classes it as a senior role.
Databricks has 914 other open roles on Level.
Posted in the last few days.

AI in this role

Lead technical engagements, build demos, and drive platform adoption for data engineering and machine learning workloads as a Solutions Engineer.

MLflowPythonSQLApache SparkDelta LakeAWSAzureGoogle Cloud

ml-opssolutions-architecturetechnical-salesdata-engineeringmachine-learning

Location: Tokyo, Japan
Req ID: FEQ228R111
Reporting to: Manager, Field Engineering
Language requirements: Business-professional Japanese required; business-level English preferred

The Role

As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.

The Impact You Will Have

Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
Own frontline technical relationships with customer engineers, data teams, and technical leads
Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community

What We Look For

4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage
Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
Strong presentation and demo skills — you will build and present a live solution during the interview
Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Business-professional fluency in Japanese; business-level English proficiency is preferred.

Nice to Have:

Databricks certification or experience with the Databricks Platform
Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
Background at a data/AI company, cloud provider, or technical consulting firm

Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Vibe Coding Interview → Build, Demo, Pitch! Presentation → Reference Check

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

How we rate this

Sr. Solutions Engineer - Hunter (New Logo) at Databricks rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr. Solutions Engineer - Hunter (New Logo) is an open job at Databricks.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Tokyo, Japan.
The job was posted on November 10, 2026.
Seniority: senior.
Applications are handled by Databricks. Apply on Databricks

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsSolutions ArchitectureTechnical SalesData EngineeringMachine learningMLflowPythonSQL

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where technical sales was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML Ops, Solutions Architecture, Technical Sales, Data Engineering, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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