{"id":544540,"url":"https://alion.io/job/databricks-scale-solution-engineer","title":"Scale Solution Engineer (Japanese-speaking; English required)","company":{"id":15,"name":"Databricks","domain":"databricks.com","url":"https://alion.io/company/databricks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":859,"ghost_share":0.263,"stale_share":0,"repost_share":0.003,"time_to_fill_p50_days":76,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Solutions","role_family":"Solutions","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Tokyo, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":105000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":587},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-08T10:01:50Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-31T16:44:30Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":52},"description":"Req ID: CSQ327R200\nLocation: Tokyo, Japan\nAt 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.\nThe impact you will have:\nYou will ensure new customers have an excellent experience by providing technical assistance early in their journey\nYou will become an expert on the Databricks Platform and guide customers in making the best technical decisions\nYou will work directly with multiple customers concurrently to provide technical solutions.\nWhat we look for:\nUndergraduate degree or higher in Computer Science, Information Systems, or relevant experience\n2+ years experience in a technical role, preferably in the data or cloud field\nKnowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.\nKnowledge of a programming language - Python, Scala, or SQL\nKnowledge of end-to-end data analytics workflow\nHands-on professional or academic experience in one or more of the following:\nData Engineering technologies (e.g., ETL, DBT, Spark, Airflow)\nData Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)\nExcellent time management and prioritization skills\nBonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)\nExcellent written and verbal communication in Japanese and English\nExcellent time management and prioritization skills\nNice to have: Databricks Certification\nAbout Databricks\nDatabricks 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.\nBenefits\n 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.\nOur Commitment to Diversity and Inclusion\nAt 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. 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