Scale Solution Engineer

Databricks
Tokyo, Japan
Career-pivot friendly

Who this role is best for

Candidates with cloud and data engineering expertise and multilingual communication skills will find this technical customer-facing role in Tokyo, Japan, rewarding.

Best fit for

  • Candidates with cloud and data engineering experience who can communicate effectively in Japanese and English
    — “Excellent written and verbal communication in Japanese and English”
  • Professionals with a background in deploying data platforms in production environments
    — “you will work directly with customers to help them onboard and deploy Databricks in their production environment”

Things to consider

  • The role requires managing multiple clients concurrently and maintaining high availability
    — “you will work directly with multiple customers concurrently to provide technical solutions”
  • Strong knowledge of data engineering and data warehousing technologies is a core requirement
    — “Hands-on professional or academic experience in one or more of the following: Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow), Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)”

How to stand out

  • Highlight your experience with end-to-end data analytics workflows and cloud deployment in your resume
    — “Knowledge of end-to-end data analytics workflow”
  • Demonstrate your ability to advise and guide technical decisions in customer-facing scenarios
    — “you will become an expert on the Databricks Platform and guide customers in making the best technical decisions”
  • Mention any Databricks Certification or relevant training in your application materials
    — “Nice to have: Databricks Certification”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • ensure new customers have an excellent experience
  • guide customers in making the best technical decisions
Typical background
technical role experiencecloud platform knowledge

Skills & requirements

Required

Cloud PlatformsData EngineeringData WarehousingTechnical AssistanceCommunication

Preferred

Databricks CertificationData ScienceMachine Learning

Stack & domain

PythonScalaSQLETLdbtSparkAirflowRedshiftSnowflakeCommunicationProblem-solvingData EngineeringData Warehousing

About the role

Original posting from Databricks

Req ID: CSQ327R200

Location: Tokyo, Japan

At Databricks, we aim to empower our customers to solve the world's most challenging data problems using the Data Intelligence platform. As a Scale Solution Engineer, you will be critical in advising customers during their onboarding. You will work directly with customers to help them onboard and deploy Databricks in their production environment.

The impact you will have:

You will ensure new customers have an excellent experience by providing technical assistance early in their journey

You will become an expert on the Databricks Platform and guide customers in making the best technical decisions

You will work directly with multiple customers concurrently to provide technical solutions.

What we look for:

Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience

2+ years experience in a technical role, preferably in the data or cloud field

Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.

Knowledge of a programming language - Python, Scala, or SQL

Knowledge of end-to-end data analytics workflow

Hands-on professional or academic experience in one or more of the following:

Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)

Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)

Excellent time management and prioritization skills

Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)

Excellent written and verbal communication in Japanese and English

Excellent time management and prioritization skills

Nice to have: Databricks Certification

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.

Source: Databricks careers

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