Senior Solutions Engineer – AI Natives Business

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $180k - $247.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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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 big data landscape by supporting sophisticated data engineering and data science teams • Collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using the Databricks platform and APIs • Guide customers through the competitive landscape, best practices, and implementation • Develop technical champions • Partner with the sales team and provide technical leadership to help customers understand how Databricks solves business problems • Consult on Big Data architectures and implement proofs of concept for strategic data engineering, data science, machine learning, and SQL analysis projects • Validate integrations with cloud services, homegrown tools, and third-party applications • Collaborate with fellow Solutions Architects to support users • Become an expert in, promote, and recruit contributors for Databricks open-source projects including Spark, Delta Lake, and MLflow

🎯 Requirements

• 4+ 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 • Remote location; Pacific Time preferred and Mountain Time considered • Degree in a quantitative discipline is desired • Databricks Certification is nice to have

🏖️ Benefits

• Annual performance bonus eligibility • Equity eligibility • Region-specific comprehensive benefits and perks

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