Databricks에서 카지노 및 iGaming 산업을 대상으로 솔루션 아키텍트를 채용합니다. 5년 이상의 고객 대면 기술 경험과 Python, Java, Scala 중 하나에 능숙한 전문가를 찾습니다. 데이터 인텔리전스 플랫폼을 활용해 고객의 복잡한 문제를 해결하고 기술적 전략을 제시하는 핵심 역할을 수행하게 됩니다.
FEQ327R96
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
The impact you will have:
Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
What we look for:
5+ years of customer-facing technical experience.
Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.
Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
Can travel up to 30% when needed.
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$152,300—$209,450 USD
Zone 2 Pay Range
$152,300—$209,450 USD
Zone 3 Pay Range
$152,300—$209,450 USD
Zone 4 Pay Range
$152,300—$209,450 USD
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
**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.
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.
