Solutions Architect, Hunter – Digital Native Business

🕒 April 29

🏄 California, Colorado, +5 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 Oregon – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $180k - $247.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems • Work directly with prospective, greenfield customers on their 0 to 1 journey with Databricks • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows • Collaborate with fellow Solutions Architects, using your skills to support each other and our users • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community

🎯 Requirements

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role • Experience building distributed data systems at scale • Comfortable programming in, and debugging, Python and SQL • Experience using agentic coding harnesses and demonstrable experience scaling your work leveraging them • 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

• Comprehensive benefits and perks • Annual performance bonus eligibility • Equity opportunities