高级解决方案架构师
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Senior Solutions ArchitectDatabricks · Mumbai, 印度
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职位描述
机器翻译FEQ427R111
作为高级解决方案架构师,您将与全球最顶尖的数据工程和数据科学团队合作,共同塑造数据与AI领域的未来。您将在内部担任销售团队的技术顾问,并作为客户在业务现场的代表与产品团队合作。您将帮助我们客户通过使用我们的Databricks Lakehouse平台实现切实的数据驱动成果,帮助数据团队完成项目并将我们的平台集成到其企业生态系统中。您将在自己的领域成长为领导者,同时为客户在大数据、分析、数据工程和数据科学问题上的最大挑战寻找解决方案
您将向现场工程负责人汇报,与我们最具战略意义的潜在客户和客户合作,直接与产品和工程团队协作推动Databricks路线图向前发展,并与更广泛的面向客户团队合作,使用我们的平台开发架构和解决方案。您将引导客户了解竞争格局、最佳实践和实施方法,并在此过程中培养技术拥护者。
这是一个混合办公职位,工作地点在孟买。
您将产生的影响:
• 您将与销售团队合作,提供技术领导力,帮助客户了解Databricks如何帮助解决他们的业务问题。
• 您将直接与销售团队合作,开发您的业务组合,定义客户策略,并执行这些策略,帮助您的客户和潜在客户使用Databricks解决他们的业务问题。
• 就大数据架构提供咨询,为战略项目实施方案验证,涵盖数据工程、数据科学和机器学习以及SQL分析工作流。同时验证与云服务、自研工具和其他第三方应用程序的集成
• 与您的解决方案架构师同事合作,运用您的技能相互支持并支持我们的用户
• 成为Databricks启发的开源项目(Spark、Delta Lake和MLflow)的专家,在开发者社区中推广并为这些项目招募贡献者。
我们寻找的人才:
• 15年以上数据工程、数据科学、技术架构或类似售前/咨询岗位经验
• 10年以上大数据技术经验,包括Apache Spark™、AI、数据科学、数据工程、Hadoop、Cassandra等
• 强大的咨询/面向客户经验,与各行业市场的外部客户合作
• 具备Python、R、Java、Apache Spark™或Scala的编码经验
任职要求
• 曾使用AWS、Azure或GCP等公有云提供商构建解决方案
• 能够前往您所在地区的客户处出差
• 加分项:Databricks认证
关于Databricks
Databricks是数据与AI公司。全球超过20,000家组织——包括adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever以及70%的财富500强企业——依赖Databricks Data + AI平台来构建和扩展数据与AI应用、分析和代理。Databricks总部位于旧金山,在全球拥有30多个办事处,提供统一平台,包括Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse和Unity Catalog。如需了解更多信息,请在LinkedIn、X、YouTube和Instagram上关注Databricks。
福利待遇
在Databricks,我们致力于提供全面的福利和津贴,以满足所有员工的需求。如需了解您所在地区所提供福利的具体详情,请点击此处。
我们对多元化和包容性的承诺
在Databricks,我们致力于营造多元化和包容性的文化,让每个人都能脱颖而出。我们非常重视确保我们的招聘实践具有包容性并符合平等就业机会标准。在Databricks寻求就业的个人不会因年龄、肤色、残疾、种族、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济地位、退伍军人身份和其他受保护特征而受到区别对待。
合规
如果履行工作职责需要访问受出口管制的技术或源代码,雇主可自行决定是否为此类职位申请美国政府许可证,雇主也可能仅因此原因而拒绝继续推进申请人的流程。
以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。
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职位描述
FEQ427R111
As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems
Reporting to the Field Engineering Leader, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.
This is a Hybrid role, based in Mumbai.
The impact you will have:
• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
What we look for:
• 15+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• 10+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Coding experience in Python, R, Java, Apache Spark™ or Scala
任职要求
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Available to travel to customers in your region
• Nice to have: Databricks Certification
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 .
福利待遇
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.