远程工作雷达

Resident Solution Architect (Databricks)

开发工程全球可投
公司Clera
薪资未公开
工作地点remote
地域资格全球可投
时区要求无特别要求
用工类型FullTime
发布时间今天
数据来源Ashby
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全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

ABOUT THE ROLE

This is a senior, hands-on Solution Architect role focused on Databricks, sitting within a data infrastructure and analytics practice that serves complex enterprise clients. You will own end-to-end Databricks implementations and translate deep platform expertise into scalable, production-ready data lakehouse solutions that directly drive client outcomes.

WHAT YOU'LL DO

- Lead and deliver Databricks implementation projects at enterprise scale, from architecture design through production deployment.

- Apply strong hands-on expertise in Apache Spark and distributed computing, including Spark runtime internals, to solve complex data engineering challenges.

- Design and optimize large-scale data platforms for performance, scalability, and reliability across major cloud environments.

- Establish and apply CI/CD pipeline best practices for production data platform deployments.

- Integrate MLOps patterns into data platform solutions where appropriate.

- Advise clients on Databricks Lakehouse Platform capabilities, best practices, and roadmap alignment.

WHAT WE'RE LOOKING FOR

- 10+ years of consulting experience, including 7+ years focused on Data Engineering, Data Platforms, and Analytics.

- Hands-on delivery of 6 to 8 or more Databricks implementation projects in a Solution Architect capacity.

- Established Databricks Architect or Databricks Solution Architect background, not adjacent data engineering experience alone.

- Strong expertise in Apache Spark and distributed computing, including internals.

- Databricks Data Engineering Professional Certification (required or strongly preferred).

- 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 practices.

- Experience with performance tuning, optimization, and scalability of large-scale data platforms.

- Must be authorized to work in the United States without visa sponsorship (W2 contract).

COMPENSATION & BENEFITS

Up to $80/hr on W2. No visa sponsorship available.

LOCATION

Fully remote, open to candidates based anywhere in North America.

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