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Senior Solutions Architect – AI Natives Business

🔥 1 minute ago

🏄 California – Remote

infoinfo

💵 $264k - $363k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

Where this job comes from

Posted on Databricks's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

Logo of Databricks

Databricks

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Shape the future of the big data landscape by working with sophisticated data engineering and data science teams • Collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using Databricks platforms and APIs • Guide customers through the competitive landscape, best practices, and implementation • Develop technical champions among customers • Partner with the sales team and provide technical leadership to explain how Databricks solves business problems • Consult on Big Data architectures • Implement proofs of concept for strategic data engineering, data science, machine learning, and SQL analysis projects • Validate integrations with cloud services, home-grown tools, and third-party applications • Collaborate with fellow Solutions Architects to support users • Promote and recruit contributors for Databricks open-source projects including Spark, Delta Lake, and MLflow

🎯 Requirements

• 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 • Experience building solutions with public cloud providers such as AWS, Azure, or GCP • Expertise in data engineering technologies such as Spark, Hadoop, or Kafka, or data science and machine learning technologies such as pandas, scikit-learn, PyTorch, or TensorFlow • Available to travel to customers in your region • Degree in a quantitative discipline is desired, including Computer Science, Applied Mathematics, or Operations Research • Databricks Certification is nice to have • Pacific Time preferred; Mountain Time considered

🏖️ Benefits

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks (specific regional details linked in posting)

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