解决方案架构师 - 零售、旅游与酒店业
Solutions Architect - Retail, Travel & Hospitality
P-256
我们正在寻找有经验的售前专业人士，他们有成功帮助大型企业变得更加数据驱动的记录。与客户经理（AE）合作，Travel & Hospitality within Retail SA 定义并指导我们最大和最重要的客户的的技术策略，从而推动我们产品的更广泛应用以及机器学习和人工智能的更广泛和深入采用。您将依靠在价值销售、技术客户管理和技术领导方面的扎实背景，以在这些客户中取得最大成功。您将与包括动手资源在内的团队合作，这些资源将构建概念验证并展示 Databricks 的产品，因此您需要具备技术能力，并理解机器学习和人工智能在零售和快消品领域目标客户重要用例中的相关性和应用。
您将产生的影响：
- 您将作为 Databricks 的主要技术声音，与多达 9 个客户合作
- 您将带领客户进行转型之旅，帮助他们评估并采用 Databricks 作为其战略的一部分
- 您将在深入了解策略的基础上，在客户账户中实施技术策略
- 在客户账户中建立技术拥护者的群体
- 在 Databricks 解决方案周围对齐技术策略
- 您将为其他团队成员提供结构化的指导
我们寻找的人选：
- 在零售和快消品相关领域，有超过 5 年的与年收入超过 100 万美元的大型客户合作的经验
- 有 3 年以上的售前工作或支持销售活动的经验
- 在大数据、数据科学和云技术方面具备技术能力
- 具备数据驱动的业务转型能力，并能通过数据推动变革
- 有 3 年以上在大数据技术（如 Hadoop、NoSQL、MPP、OLTP、OLAP）或完整生命周期数据科学解决方案的设计和实施经验
- 维护和扩展生产数据系统，以适应复杂的客户需求
- 有 Python、R、Scala 或 Java 的生产编程经验
- 有 Databricks 认证是加分项
薪资范围透明度
Databricks 致力于公平和公正的薪酬实践。该职位的薪资范围如下，代表非佣金职位的预期薪资范围或佣金职位的基准收入。实际的薪酬包将根据每位候选人的独特因素而定，包括但不限于与职位相关的技能、经验深度等。
查看英文原文
P-256
We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space.
The impact you will have:
- You will work with up to 9 clients as the main technical voice for Databricks
- You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
- You will implement the technical strategy in the account, in close understanding of the strategy
- Build a movement of technical champions within the account
- Align technical strategies around Databricks solutions
- You will provide structured mentorship for other team members
What we look for:
- 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space
- 3+ years working in a pre sales capacity or supporting sales activity
- Technical in big data, data science and cloud
- An ability in data-driven business transformation, and driving change with data
- 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
- Maintain and extend production data systems to evolve with complex customer needs
- Production programming experience in Python, R, Scala or Java
- Nice to have: Databricks Certification
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates 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.
Local Pay Range
$180,000—$247,500 USD
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.