驻场解决方案架构师（Databricks）
Resident Solution Architect (Databricks)
职位描述
这个高级技术解决方案架构师职位专注于Databricks，隶属于一个服务于复杂企业客户的Data Infrastructure和Analytics团队。你将负责端到端的Databricks实施，并将深入的平台专业知识转化为可扩展、生产就绪的数据湖解决方案，直接推动客户成果。
你将负责
- 在企业规模上领导并交付Databricks实施项目，从架构设计到生产部署。
- 运用扎实的Apache Spark和分布式计算实际操作经验，包括Spark运行时内部机制，解决复杂的数据工程挑战。
- 设计并优化跨主要云环境的大规模数据平台，确保性能、可扩展性和可靠性。
- 建立并应用CI/CD流水线的最佳实践，用于生产数据平台的部署。
- 在适当的情况下将MLOps模式集成到数据平台解决方案中。
- 为客户提供建议，介绍Databricks Lakehouse Platform的功能、最佳实践和路线图对齐。
我们寻找
- 10年以上咨询经验，其中7年以上专注于数据工程、数据平台和分析。
- 以解决方案架构师身份实际交付6到8个或更多Databricks实施项目。
- 具有Databricks架构师或Databricks解决方案架构师背景，而不仅仅是相关数据工程经验。
- 精通Apache Spark和分布式计算，包括内部机制。
- Databricks数据工程专业认证（必需或优先考虑）。
- 具有至少一个主要云平台（AWS、Azure或GCP）的实际操作经验；多云经验是加分项。
- 对用于生产部署的CI/CD流水线有扎实的理解。
- 了解MLOps实践。
- 具有大规模数据平台的性能调优、优化和可扩展性经验。
- 必须已获得在美国工作的授权，无需签证赞助（W2合同）。
薪酬与福利
按W2计时，最高每小时80美元。不提供签证赞助。
地点
全远程，接受北美任何地区的候选人。
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ABOUT THE ROLE
This is a senior, hands-on Solution Architect role focused on Databricks, sitting within a data infrastructure and analytics consulting practice. You will lead and deliver enterprise-scale Databricks implementations for complex clients, acting as a trusted technical authority on the Lakehouse Platform.
WHAT YOU'LL DO
- Architect and deliver end-to-end Databricks implementations across client engagements at enterprise scale.
- Design and optimize large-scale data platforms with a focus on performance tuning, scalability, and best practices.
- Apply deep expertise in Apache Spark and distributed computing, including Spark runtime internals, to solve complex data engineering challenges.
- Guide clients on Databricks Lakehouse Platform capabilities, current features, and recommended architecture patterns.
- Integrate CI/CD pipelines to support production-grade deployments and ongoing data platform operations.
- Apply working knowledge of MLOps practices within the broader data and AI enablement context.
- Engage across one or more major cloud platforms (AWS, Azure, or GCP) to deliver cloud-native data solutions.
WHAT WE'RE LOOKING FOR
- 10+ years of consulting experience, including 7+ years focused on Data Engineering, Data Platforms, and Analytics.
- Proven track record delivering 6 to 8 or more Databricks implementation projects in a hands-on Solution Architect capacity.
- Databricks Data Engineering Professional Certification (strongly preferred).
- Strong expertise in Apache Spark and distributed computing, including internals-level knowledge of the Spark runtime.
- Deep understanding of the Databricks Lakehouse Platform, including current capabilities and production best practices.
- Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP; multi-cloud experience is a plus.
- Solid understanding of CI/CD pipelines for production deployments.
- Working knowledge of MLOps concepts and tooling.
- Background in performance tuning, optimization, and scalability of large-scale data platforms.
- Must be authorized to work in the United States; visa sponsorship is not available for this role.
COMPENSATION & BENEFITS
Up to $80/hr on W2. Visa sponsorship is not available.
LOCATION
Fully remote, open to candidates based in North America.