
About Databricks
Empowering data teams with unified analytics
Key Highlights
- Headquartered in San Francisco, CA
- Valuation of $43 billion with $3.5 billion raised
- Serves over 7,000 customers including Comcast and Shell
- Utilizes Apache Spark for big data processing
Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...
π Benefits
Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...
π Culture
Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

Technical Solutions Engineer β’ Staff
Databricks β’ San Francisco - Hybrid
Skills & Technologies
Overview
Databricks is hiring a Staff Data & AI Technical Solutions Engineer to drive and mentor the production of Data & AI technical solutions. You'll work with Apache Spark, Delta, and Python to address complex customer issues. This role requires deep expertise in Data & AI architectures and production environments.
Job Description
Who you are
You have extensive experience as a Technical Solutions Engineer, particularly in Data & AI, with a proven track record of mentoring others and driving technical solutions for complex customer issues. Your expertise in Data & AI architectures allows you to navigate a wide range of use cases and maintain complex production environments while adhering to SLAs. You thrive in collaborative settings, working effectively with product engineering and customer account teams to deliver results, especially during critical production downtimes.
Your deep understanding of production data pipelines, AI workflows, and streaming data ingestion enables you to provide customers with the guidance and knowledge they need to build performant architectures. You are recognized for your leadership and technical depth, and you excel at troubleshooting even the most complex customer situations. You are passionate about helping customers achieve their strategic objectives using Databricksβ platform.
Desirable
Experience with Spark core internals, Spark SQL, and Model Serving is a plus. Familiarity with cloud platforms and data engineering best practices will enhance your ability to provide effective solutions.
What you'll do
In this role, you will be directly responsible for leading and driving technical solutions for a breadth of complex problems reported by Databricks customers. You will deep dive into code-level analysis and systems architecture of customer workloads to address issues related to Databricks products. Your ability to analyze and resolve escalated and critical scenarios will be crucial in maintaining customer satisfaction and trust.
You will collaborate closely with various teams, including product engineering and customer account teams, to ensure that customer needs are met promptly and effectively. Your role will involve mentoring junior engineers and sharing your expertise to foster a culture of learning and growth within the team. You will also be expected to stay updated on the latest developments in Data & AI technologies to continuously improve your solutions and approaches.
What we offer
Databricks provides a dynamic work environment where you can make a significant impact on customer success. We offer competitive compensation and benefits, along with opportunities for professional development and growth. You will be part of a world-class global support engineering organization, recognized for its commitment to excellence and innovation. Join us in shaping the future of Data & AI solutions and making a difference for our customers.
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