高级指定支持工程师
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Senior Designated Support EngineerDatabricks · Sydney, 澳大利亚
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职位描述
机器翻译CSQ227R215
作为高级指定工程师和技术主题专家，您将与我们的现场团队和工程团队紧密合作，为 Databricks 在数字原生业务（DNB）细分市场中最大、最具战略意义的客户提供高触达的专项支持和量身定制的技术解决方案。在这个面向客户的职位中，您将利用自己在 Apache Spark™ 和其他数据技术方面的技术专长，对复杂的产品问题进行分诊和解决，并为我们客户最关键的技术挑战扫清障碍。
您将产生的影响：
• 执行高级故障排查和根本原因分析，使用 Spark UI 指标、Mosaic AI Model Service、DAG 和事件日志等工具，解决 Spark、SQL、Delta、Streaming 和 Databricks 运行时功能中的性能和可靠性问题。
• 发现持续监控需求，以尽早检测性能问题，并与研发和 NOC 团队合作，优化 DNB 客户环境。
• 构建快速 POC，测试/部署/监控 Databricks Engineering 构建的解决方案，以应对客户挑战，并展示与其业务目标一致的高级 Spark/ML/AI 运行时能力。
• 开发全面的操作手册，并维护 Spark、ML 和 AI 工作流常见问题及解决方案的知识库。
• 就性能调优、调试和有效利用 Databricks 功能的最佳实践，培训客户工程和业务团队。
• 试点新的最佳实践流程/项目，推动流程改进，并与跨职能团队协作以提升客户体验。
• 在业务评审会议中为客户发声，并作为值得信赖的顾问和主要技术联系人保持紧密关系。
• 在客户参与和技术演示期间，与现场工程、销售和产品团队现场协作，为影响生产的问题提供快速解决方案，展示深厚的技术专长并建立强大的客户信任。
我们寻找的人才：
• 大数据和 Spark 技术专长：5 至 8 年设计、构建和排查分布式计算应用的经验，其中 4 年以上使用 Python、Java 或 Scala 交付生产级 Spark/ML/AI 解决方案的经验。
• 数据工程专长：具备数据湖、基于 SQL 的数据库，以及 Snowflake、Redshift、Bigquery 等基于云的数据仓库/ETL 工具的实操专长
• 高级技术技能：深入了解 Spark 核心内部机制、Delta/Iceberg、JVM 优化和内存管理，并额外熟练掌握机器学习、深度学习和生成式 AI 等 AI 生态系统。
• 云和 CI/CD 技能：具备 AWS、Azure 或 GCP 的实践经验，并擅长构建和管理 CI/CD 流水线、监控和告警系统。
• 面向客户的经验：3–5 年担任技术客户经理或解决方案架构师等面向客户角色的经验，展现出强大的沟通、关系建立和问题解决能力。
• 高级主动问题解决技能：已证明具备预判、识别和降低风险的能力，同时能为生产挑战规划解决方案。有效运用良好的商业判断、风险规避和主题专家资源，协调团队工作以解决问题。
• 协作与领导力：已证明具备与跨职能团队和高级领导层合作的能力，以解决障碍、降低风险并推动客户成功，同时创建有影响力的文档以支持自助解决方案。
关于 Databricks
Databricks 是一家数据与 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 Platform 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 多个办公室，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。
我们对多元与包容的承诺
在 Databricks，我们致力于营造多元且包容的文化，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。申请 Databricks 职位的人士不会因年龄、肤色、残疾、族裔、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、社会经济状况、退伍军人身份及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，且雇主可能仅基于此原因拒绝继续推进申请人。
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
CSQ227R215
As a Senior Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges.
The Impact You Will Have:
• Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.
• Discover requirements for continuous monitoring to detect early performance issues, working with R&D and NOC teams to optimise the DNB customer environments.
• Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals.
• Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.
• Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.
• Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience.
• Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact.
• Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.
What We Look For:
• Technical Expertise in Big Data and Spark: 5 to 8 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.
• Data Engineering Specialisation: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc
• Advanced Tech Skills : Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimisation, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI.
• Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems.
• Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills.
• Advanced Proactive Problem Solving Skills : Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems.
• Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions.
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.