Most Loved Workplace® Certified JobScale Solution Engineer
Most Loved Workplace® Certified JobAbout the Role
At Databricks, a Most Loved Workplace® certified employer in the Technology space, Democratizing data and AI for every organization worldwide.
<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 J
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Why This Is a Most Loved Workplace® Certified Job
Systemic Collaboration
As Databricks continues our rapid growth, we strive to maintain a culture as open and transparent as it was in Databricks’s early days. Making sure employees have regular access to our CEO and co-founders to hear directly about our vision and priorities helps our employees forge a connection between Databricks priorities and their daily work.
Positive Vision for the Future
Databricks’ culture principles are derived from an internal study of the behaviors that have led to high impact work at Databricks. These values have a direct impact on company culture and play a large part in connecting teams across the organization. We believe in being customer-obsessed, truth-seeking, operating from first principles, having a bias for action, and putting Databricks first. Our co-founders are fully involved in day-to-day operations, including business and technical reviews, working alongside our team members to ensure that we are always aligned with our values.
Alignment of Values
Databricks’ CEO and Co-founder, Ali Ghodsi leads by example with a focus on truth-seeking and first principles thinking, two of Databricks’ core values that stay true to Databricks’s origins in academia. He champions the importance of data and reason to question biases and inform decisions. Ali remains hands-on with research and development and hosts company-wide weekly all hands, with a CEO “ask me anytime” session at the beginning of every agenda. His transparency and accessibility are core to the open and collaborative culture of Databricks.
Respect
At Databricks, we cultivate an environment where all employees can bring their unique selves and are empowered to do the best work of their careers. To ensure all voices are heard and ideas are valued, we conduct annual culture and pulse surveys and host all-hands Q&As to collect feedback from all employees. We then report back to Databricks on the specific changes implemented from the feedback collected to ensure employees feel heard and that their feedback is valued. In addition, we invest in our seven Employee Resource Groups (ERGs) that offer support and employee engagement events for individuals from underrepresented backgrounds and allies.
Killer Outcomes
Databricks prioritizes offering an exceptional employee experience by investing in tools, workspaces, and community-building. Our collaboration-first, hybrid model offers flexibility with in-person touchpoints like our annual employee kickoff, weekly CEO all-hands with happy hours, and monthly team building budgets. We are especially focused on maintaining a culture of transparency, honesty, and trust, with leaders actively engaging across channels like Slack and all hands while also championing inclusion efforts through ERG sponsorship. These initiatives help our team feel connected, valued, and empowered to do their best work.
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