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Scale Solution Engineer

Databricks · Tokyo, Japan

Job information is sourced from publicly available employer career pages. Always verify details on the employer's official website before applying.

Why this job?

Discovery score 52/100, built only from evidence stored with this listing.

52/100 discovery
  • New official employer listing
  • Rare role match

Score components

  • Recency (moves as the posting ages)+18
  • Official employer source+15
  • Rare role+11
  • Company source health+8

Not present on this posting: Salary disclosed、Remote position、Visa sponsorship mentioned、Relocation mentioned、Not found on monitored job boards.

Reasons come from the employer's own posting and our verified source checks. Nothing here is inferred beyond those stored signals.

Job description

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.

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