About the role
<p data-pm-slice="1 1 []">Req ID: CSQ327R200<br>Location: Tokyo, Japan</p>
<p>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.</p>
<p>The impact you will have:</p>
<ul>
<li>You will ensure new customers have an excellent experience by providing technical assistance early in their journey</li>
<li>You will become an expert on the Databricks Platform and guide customers in making the best technical decisions</li>
<li>You will work directly with multiple customers concurrently to provide technical solutions.</li>
</ul>
<p>What we look for:</p>
<ul>
<li>Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience</li>
<li>2+ years experience in a technical role, preferably in the data or cloud field</li>
<li>Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.</li>
<li>Knowledge of a programming language - Python, Scala, or SQL</li>
<li>Knowledge of end-to-end data analytics workflow</li>
<li>Hands-on professional or academic experience in one or more of the following:</li>
<ul>
<li>Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)</li>
<li>Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)</li>
</ul>
<li>Excellent time management and prioritization skills</li>
<li>Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)</li>
<li>Excellent written and verbal communication in Japanese and English</li>
<li>Excellent time management and prioritization skills</li>
<li>Nice to have: Databricks Certification</li>
</ul>
<div id="apply" class="mt-3 w-full"></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">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 <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>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 <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>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.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">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.</span></strong></p></div>
<p>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.</p>
<p>The impact you will have:</p>
<ul>
<li>You will ensure new customers have an excellent experience by providing technical assistance early in their journey</li>
<li>You will become an expert on the Databricks Platform and guide customers in making the best technical decisions</li>
<li>You will work directly with multiple customers concurrently to provide technical solutions.</li>
</ul>
<p>What we look for:</p>
<ul>
<li>Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience</li>
<li>2+ years experience in a technical role, preferably in the data or cloud field</li>
<li>Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.</li>
<li>Knowledge of a programming language - Python, Scala, or SQL</li>
<li>Knowledge of end-to-end data analytics workflow</li>
<li>Hands-on professional or academic experience in one or more of the following:</li>
<ul>
<li>Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)</li>
<li>Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)</li>
</ul>
<li>Excellent time management and prioritization skills</li>
<li>Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)</li>
<li>Excellent written and verbal communication in Japanese and English</li>
<li>Excellent time management and prioritization skills</li>
<li>Nice to have: Databricks Certification</li>
</ul>
<div id="apply" class="mt-3 w-full"></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">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 <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>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 <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>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.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">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.</span></strong></p></div>