高级解决方案架构师 - 数字原生业务，战略方向
Sr. Solutions Architect - Digital Native Business, Strategics
作为支持战略数字原生业务（DNB）客户的团队中的高级解决方案架构师，你将通过与世界上最先进的数据工程和数据科学团队合作，塑造数据与AI领域的未来。
向现场工程经理汇报，你将与客户、产品团队及更广泛的客户支持团队协作，使用我们的平台和API开发架构和解决方案。你将引导客户了解竞争环境、最佳实践和实施方法，并在此过程中培养技术拥护者。
你将产生的影响：
- 与销售团队合作，提供技术领导力，帮助客户理解Databricks如何解决他们的业务问题。
- 领导技术探索和设计架构，为涵盖数据工程、数据科学和机器学习、SQL分析流程的战略项目实施原型验证。你还将帮助客户构建与云服务、自研工具和其他第三方应用集成的解决方案。
- 作为客户的战略技术顾问，帮助他们实现业务成果。
- 与你的解决方案架构师同事协作，利用你的技能互相支持和帮助我们的用户。
- 成为Databricks启发的开源项目（Spark、Delta Lake、MLflow、Omnigent）的专家，推广并招募开发者社区中的贡献者。
我们寻找的人选：
- 7年以上数据工程、数据科学、技术架构或类似售前/咨询角色经验
- 具有构建分布式数据系统的经验
- 熟练使用Python和SQL编程及调试
- 具有使用AWS、Azure或GCP等公共云服务商构建解决方案的经验
- 在以下任一方面具有专长：
- 数据工程技术（例如：Spark、Hadoop、Kafka）
- 数据科学和机器学习技术（例如：pandas、scikit-learn、PyTorch、Tensorflow）
- 能够前往所在地区的客户现场
- [优先] 量化学科学位（计算机科学、应用数学、运筹学）
- 有加分项：Databricks认证
- 地点：远程（首选太平洋时间；山地时间考虑中）
查看英文原文
As a Sr. Solutions Architect on the team supporting the strategic Digital Natives Business (DNB) customers, 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.
Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.
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.
- Lead technical discovery and design architectures, implement proof of concepts for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows. You will also help customers build solutions that integrate with cloud services, home grown tools, and other 3rd party applications.
- Act as strategic technical advisor to customers to help them drive business outcomes.
- 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, MLflow, Omnigent) across the developer community.
What we look for:
- 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
- Experience building distributed data systems
- Comfortable programming in and debugging Python and SQL
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Expertise in one of the following:
- Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, PyTorch, Tensorflow)
- Available to travel to customers in your region
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- Nice to have: Databricks Certification
- Location: Remote (Pacific Time preferred; Mountain Time considered).
NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.
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
$219,100—$301,300 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.