
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.
🔥 0 minutes ago
🏄 California – Remote
💵 $180.7k - $248.4k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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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.
• Work with clients on short to medium term customer engagements on big data challenges using the Databricks platform. • Provide data engineering, data science, and cloud technology projects integrating with client systems. • Report to the regional Manager/Lead. • Design and build reference architectures, create how-to's and productionalize customer use cases. • Work with engagement managers to scope professional services work with input from customers. • Guide strategic customers in implementing transformational big data projects, including end-to-end design, deployment, and support. • Collaborate with the Databricks technical team to ensure technical components of engagement are delivered as needed.
• 6+ years experience in data engineering, data platforms & analytics • Comfortable writing code in either Python or Scala • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Design and deployment of performant end-to-end data architectures • Experience with technical project delivery - managing scope and timelines. • Documentation and white-boarding skills. • Experience working with clients and managing conflicts. • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. • Databricks Certification.
• Databricks is committed to fair and equitable compensation practices. • Actual compensation packages are based on several factors, including job-related skills, depth of experience, relevant certifications and training, and specific work location. • The total compensation package may also include eligibility for annual performance bonus, equity, and other benefits.
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