Senior Solutions Architect – Digital Native Business

🔥 2 hours ago

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🎰 Nevada – Remote ☕ Washington – Remote

💵 $219.1k - $301.3k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Databricks

WebsiteLinkedInAll Job Openings

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 Data & AI 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 our platform and APIs • Guide customers through the competitive landscape, best practices, and implementation while developing technical champions • Partner with the sales team and provide technical leadership • Lead technical discovery and design architectures, implement proof of concepts for strategic projects across data engineering, data science, machine learning, and SQL workflows • Act as a strategic technical advisor to customers to help drive business outcomes • Collaborate with fellow Solutions Architects and support users • Become an expert in and promote Databricks inspired open-source projects across the developer community.

🎯 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 • Have built solutions with public cloud providers such as AWS, Azure, or GCP • Expertise in Data Engineering technologies (Ex: Spark, Hadoop, Kafka) or Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, PyTorch, Tensorflow) • Available to travel to customers in your region • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) • Nice to have: Databricks Certification.

🏖️ Benefits

• Competitive salary • annual performance bonus • equity • comprehensive benefits and perks