Senior Solutions Architect – AI Natives Business

atDatabricksRemoteUS flagCaliforniaFull-timeSolutions EngineerSenior$219.1k – $301.3k/year

Posted 5 days ago

This is a fully remote position, open to applicants in California.

📋 Description

• Influence the future of the big data ecosystem by assisting advanced data engineering and data science teams.

• Work collaboratively with clients, product teams, and the wider customer-facing team to create architectures and solutions utilizing Databricks’ platform and APIs.

• Guide customers through the competitive landscape, best practices, and implementation processes.

• Develop technical advocates among clients.

• Collaborate with the sales team and provide technical expertise to help customers comprehend how Databricks addresses their business challenges.

• Consult on Big Data architectures.

• Execute proofs of concept for significant data engineering, data science, machine learning, and SQL analysis initiatives.

• Validate integrations with cloud services, in-house tools, and third-party applications.

• Work with fellow Solutions Architects to support colleagues and users.

• Advocate for Databricks open-source projects, including Spark, Delta Lake, and MLflow, while recruiting contributors from the developer community.

• Report to the Field Engineering Manager.


⛳️ Requirements

• Over 7 years of experience in data engineering, data science, technical architecture, or a related pre-sales/consulting role.

• Proven experience in building distributed data systems.

• Proficient in programming and debugging Python and SQL.

• Experience in developing solutions with public cloud providers such as AWS, Azure, or GCP.

• In-depth knowledge of data engineering technologies like Spark, Hadoop, or Kafka, as well as data science and machine learning technologies such as pandas, scikit-learn, PyTorch, or TensorFlow.

• Willingness to travel to customers within your region.

• A degree in a quantitative field is preferred, though not mandatory.

• Databricks Certification is a plus.

• Preference for candidates in Pacific Time; Mountain Time will be considered.


🏝️ Benefits

• Eligibility for an annual performance bonus.

• Equity eligibility.

• Comprehensive benefits and perks (specific regional details provided by Databricks).

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