Senior Technical Solutions Engineer, Platform

Databricks
Dallas, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 154K

Job location

Dallas, United States of America

Tech stack

Java
Amazon Web Services (AWS)
Azure
Big Data
Databases
Python
SQL Databases
Data Management
Databricks

Job description

As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions.

The impact you will have:

  • Troubleshoot and resolve complex customer issues related to Databricks platform
  • Provide best practices support for custom-built solutions developed by Databricks customers
  • Deliver suggestions for improving performance in customer-specific environments
  • Assist with issues around third-party integrations with Databricks environment
  • Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
  • Participate in the creation and maintenance of company documentation and knowledge articles
  • Be a true proponent of customer advocacy
  • Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
  • Participate in weekend and weekday on call rotation

Requirements

Do you have experience in SQL?, * 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .

  • Strong experience with SQL-based database is required.
  • Linux/Unix administration skills.
  • Hands-on experience with AWS, Azure or GCP.
  • Candidate must possess excellent English written and oral communication skills.
  • Experience with "Distributed Big Data Computing" environment.
  • Technical degree or the equivalent experience.

Pay Range Transparency

Benefits & conditions

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Local Pay Range $87,100-$154,000 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

About the company

Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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