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Home›Jobs›Databricks›Senior Technical Solutions Engineer, Lakebase
Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

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...

🎁 Benefits

Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...

🌟 Culture

Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

🌐 Website💼 LinkedIn𝕏 TwitterAll 675 jobs →
Databricks

Senior Technical Solutions Engineer, Lakebase

Databricks • Dallas, Texas; Mountain View, California

Posted 2d agoSeniorTechnical solutions engineer📍 Dallas📍 Mountain View
Apply Now →

Skills & Technologies

AWSAzurePostgreSQLREST API

Overview

Databricks is hiring a Senior Technical Solutions Engineer to provide technical support for Lakebase and Neon platforms. You'll work with AWS, Azure, and PostgreSQL to resolve complex customer issues. This role requires strong problem-solving skills and experience in technical support.

Job Description

Who you are

You have a strong background in technical support, particularly in cloud-native services, with a focus on databases like PostgreSQL. Your experience includes troubleshooting complex issues and providing best practices for custom-built solutions. You are adept at working with APIs and REST endpoints, and you have a solid understanding of cloud platforms such as AWS and Azure. You are a customer advocate, always striving to enhance the customer experience and resolve their challenges effectively. You are comfortable collaborating with engineering teams to achieve resolutions and improve performance in customer environments. Your communication skills allow you to convey technical concepts clearly to both technical and non-technical stakeholders.

Desirable

Experience with Databricks products or similar cloud services is a plus. Familiarity with OLTP ecosystems and performance optimization techniques will set you apart. A proactive approach to learning and adapting to new technologies is essential, as is the ability to work in a fast-paced environment.

What you'll do

In this role, you will provide technical support for Databricks Lakebase and the Neon.com cloud-native Postgres service. You will troubleshoot and resolve complex customer issues, ensuring that clients can effectively utilize our products to achieve their strategic goals. You will assist customers throughout their Databricks journey, offering guidance and knowledge to help them derive maximum value from our solutions. You will coordinate root-cause analysis for high-complexity issues and work closely with engineering teams to facilitate resolutions. Your role will also involve creating and maintaining documentation and knowledge articles to support both customers and internal teams. You will be a key player in advocating for customer needs and ensuring their success with our platforms.

What we offer

At Databricks, we foster a collaborative and innovative work environment where your contributions directly impact our customers' success. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will be part of a team that values customer advocacy and technical excellence, working together to solve complex challenges and drive customer satisfaction. Join us in our mission to simplify data and AI for everyone, and help shape the future of data analytics.

Interested in this role?

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