Databricks
Senior Technical Solutions Engineer, Platform
Databricks, San Francisco, California, United States, 94199
P-343
While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Based on location the role can be hybrid or remote.
As a 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. This role is hybrid.
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
What we look for:
Minimum 3 years' experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired.
Solid experience with SQL-based database is required.
Linux/Unix administration skills.
Two year experience with Hadoop/Spark in either an administrative, development or support role is required.
Hands-on experience with AWS or Azure.
Candidate must possess excellent English written and oral communication skills.
Experience with "Distributed Big Data Computing" environment.
Technical degree or the equivalent experience.
U.S. Citizenship Requirement
In order to comply with the U.S. Government information security and federal contractor regulations, including Department of Defense Cloud Computing Security Requirements for Impact Level 6 Cloud Service Provider personnel, this role is open to United States citizens on United States Soil only.
Benefits
Medical, Dental, and Vision
401(k) Plan
FSA, HSA and Commuter Benefit Plans
Equity Awards
Flexible Time Off
Paid Parental Leave
Family Planning
Fitness Reimbursement
Annual Career Development Fund
Home Office/Work Headphones Reimbursement
Employee Assistance Program (EAP)
Business Travel Accident Insurance
Mental Wellness Resources
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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$102,400
—
$181,200 USDAbout Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide 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.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
#J-18808-Ljbffr
While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Based on location the role can be hybrid or remote.
As a 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. This role is hybrid.
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
What we look for:
Minimum 3 years' experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired.
Solid experience with SQL-based database is required.
Linux/Unix administration skills.
Two year experience with Hadoop/Spark in either an administrative, development or support role is required.
Hands-on experience with AWS or Azure.
Candidate must possess excellent English written and oral communication skills.
Experience with "Distributed Big Data Computing" environment.
Technical degree or the equivalent experience.
U.S. Citizenship Requirement
In order to comply with the U.S. Government information security and federal contractor regulations, including Department of Defense Cloud Computing Security Requirements for Impact Level 6 Cloud Service Provider personnel, this role is open to United States citizens on United States Soil only.
Benefits
Medical, Dental, and Vision
401(k) Plan
FSA, HSA and Commuter Benefit Plans
Equity Awards
Flexible Time Off
Paid Parental Leave
Family Planning
Fitness Reimbursement
Annual Career Development Fund
Home Office/Work Headphones Reimbursement
Employee Assistance Program (EAP)
Business Travel Accident Insurance
Mental Wellness Resources
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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$102,400
—
$181,200 USDAbout Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide 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.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
#J-18808-Ljbffr