Databricks
Technical Escalation Manager
CSQ227R164
At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s leading data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Technical Escalation Manager, you will be responsible for coordinating efforts to resolve critical customer issues, customer-impacting situations, and major incidents. You will work with multiple internal teams (engineering, product management, Customer Success Engineering, and Support) and external partners to effectively resolve these customer-impacting situations.
The impact you will have here:
- Manage support escalation in partnership with engineering, product management, Customer Success Engineering, Support, Customers, and Partners until resolution.
- Achieve customer satisfaction by ensuring incidents or escalations (and related cases) are well and fully documented with the timely execution of action items.
- Create and execute a data-driven customer recovery plan for every escalation and incident that is addressed.
- Utilize business and technical skills to manage customer escalations, coordinate meetings and deliverables, and analyze trends and patterns for reporting purposes.
- Use data, metrics, and feedback to inform operational and tactical decisions that improve incident and escalation management.
- Coordinate all necessary resources to fast-track and resolve new incidents and escalations from customers with a clear and detailed plan.
What are we looking for?
- A minimum of 8+ years of experience in customer support, escalation, SRE, or incident management is required.
- Excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences.
- Experience with a "Distributed big data Computing" environment, SQL-based databases, as well as data warehousing and ETL technologies such as Informatica, DataStage, Oracle, Teradata, SQL Server, and MySQL.
- Linux/Unix administration skills, networking, and Hands-on Cloud experience with AWS, Azure, or GCP are required.
- Experience working cross-functionally with support, engineering, product management, and directly with customers; ability to deeply understand product and customer personas.
- BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field.
- Written and spoken proficiency in both Japanese and English
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Staff Technical Solutions Engineer, Platform
P-1412
Note: this is a hybrid role and requires ~3 days in the office in São Paulo-SP.
Job Overview:
We are seeking a highly skilled Frontline Senior Technical Solutions Engineer with over 10 years of experience to join our Platform Support team. This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions. As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements.
Key Responsibilities:
- Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability.
- Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction.
- Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence.
- Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform.
- Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers.
- Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency.
- Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity.
- Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes.
- Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features.
Qualifications:
- Experience: Minimum of 8 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies.
- Technical Skills: A deep understanding of Databricks architecture and Apache Spark™, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization.
- Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach.
- Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders.
- Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience.
- Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable.
Preferred Skills:
- Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases.
- Familiarity with automation tools and CI/CD pipelines.
- Understanding of data governance and compliance requirements.
Why Join Us?
- Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company.
- Career Growth: Opportunities for professional development and career advancement.
- Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Sr Technical Escalations Manager
P-1520
Sr. Technical Escalation Manager
Note: this is a hybrid role and requires ~3 days in the office in São Paulo-SP.
At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s leading data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Technical Escalation Manager, you will be responsible for coordinating efforts to resolve critical customer issues, customer-impacting situations, and major incidents. You will work with multiple internal teams (engineering, product management, Customer Success Engineering, and Support) and external partners to effectively resolve these customer-impacting situations.
The impact you will have here:
- Manage support escalation in partnership with engineering, product management, Customer Success Engineering, Support, Customers, and Partners until resolution.
- Achieve customer satisfaction by ensuring incidents or escalations (and related cases) are well and fully documented with the timely execution of action items.
- Create and execute a data-driven customer recovery plan for every escalation and incident that is addressed.
- Utilize business and technical skills to manage customer escalations, coordinate meetings and deliverables, and analyze trends and patterns for reporting purposes.
- Use data, metrics, and feedback to inform operational and tactical decisions that improve incident and escalation management.
- Coordinate all necessary resources to fast-track and resolve new incidents and escalations from customers with a clear and detailed plan.
What are we looking for?
- A minimum of 5 years of experience in customer support, escalation, SRE, or incident management is required.
- Excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences.
- Experience with a "Distributed big data Computing" environment, SQL-based databases, as well as data warehousing and ETL technologies such as Informatica, DataStage, Oracle, Teradata, SQL Server, and MySQL.
- Linux/Unix administration skills, networking, and Hands-on Cloud experience with AWS, Azure, or GCP are required.
- Experience working cross-functionally with support, engineering, product management, and directly with customers; ability to deeply understand product and customer personas.
- BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Senior Technical Solutions Engineer - Platform (Greater China Region)
Req: CSQ127R173
Location: Singapore
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
What We Look For
- 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.
- Experience with "Distributed Big Data Computing" environment.
- Technical degree or the equivalent experience.
- Proficiency in Mandarin and English is a must as this role serves clients based in the Greater China Region and involves direct customer communications in Mandarin.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Senior Technical Solutions Engineer (Platform)
Req: CSQ127R172
Location: Tokyo, Japan
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
What We Look For
- 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.
- Experience with "Distributed Big Data Computing" environment.
- Technical degree or the equivalent experience.
- Written and spoken proficiency in both Japanese and English
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Sr Technical Solutions (Backline)
P-1529
At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Backline Technical Solutions Engineer, you will help our customers succeed with the Databricks Platform by resolving critical technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defence for engineering. You will ensure that all issues are vetted by you before they reach the engineering team. You will report to the Backline Engineering Team Manager.
The impact you will have:
- Troubleshoot and resolve complex customer issues related to the Databricks Platform by analysing the core component metrics and logs.
- Provide suggestions and best-practice guidance to improve performance in customer-specific environments and to provide product improvement feedback.
- Help the support team with detailed troubleshooting guides and runbooks.
- Contribute to automation and tooling initiatives to streamline daily troubleshooting.
- Partner with the engineering team and spread awareness of upcoming features and releases.
- Identify and contribute supportability features back into the product.
- Demonstrate ownership and coordinate with engineering and escalation teams to resolve customer issues and requests.
- Participate in weekend and weekday on-call rotation.
What we look for:
-
- 7+ years of industry experience
- Experience with supporting Java, Scala or Python-based applications.
- Expert in scripting using Python or Shell.
- Comfortable with black box troubleshooting.
- Experience in troubleshooting issues related to the "Distributed Big Data Computing" environment.
- Experience with SQL-based database systems.
- Experience in Linux and network troubleshooting is required.
- Experience with AWS, Azure or GCP related services.
- A bachelor's degree in Computer Science or a related field is required
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Staff Software Engineer – Customer Experience Intelligence (CXI)
At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact.
Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started.
As the Staff Technical Lead (TL) for Customer Experience Intelligence, you’ll shape the future of how Databricks supports customers at scale. You’ll design intelligent, AI-powered systems that make support faster, smarter, and more effortless — turning complexity into clarity for thousands of users.
In this role, you’ll have end-to-end ownership of the architecture and technical strategy behind automation and agentic workflows that reduce mean time to mitigate (MTTM), boost quality, and enable our Support organization to scale impact without scaling headcount. You’ll work hands-on with teams across Support, Product, and Platform Engineering to build seamless systems that anticipate customer needs before they arise. Leading the technical foundation that transforms how customers experience support — where issues are auto-diagnosed, solutions are delivered instantly, and engineers focus their time on the toughest challenges. Your success will mean customers moving faster, trusting Databricks deeper, and feeling the impact of your systems every day.
The Impact You Will Have:
- Own the technical vision and architecture for Databricks’ Support Automation and Tooling ecosystem
- Lead hands-on development of automation to improve customer experience and Support scalability
- Drive rapid, iterative development while upholding quality, safety, and reliability standards
- Design agentic workflows that evolve from human-in-the-loop to fully automated systems
- Implement observability, transparency, and rollback mechanisms for AI-driven decisions
- Act as the primary technical interface between Support, Product, and Platform Engineering to align technical roadmaps and unblock dependencies
- Set a high engineering bar for quality, reliability, and maintainability in line with Databricks standards
- Mentor engineers and SMEs across Software and Support Engineering functions
What we look for:
- BS or higher degree in Computer Science or a related field.
- Technical leadership experience in large projects similar to those described, including automation tooling, distributed systems, and API’s
- Extensive full stack development experience
- Proven success designing and deploying production-grade automation in complex technical environments
- Hands-on experience with ML-assisted systems, decision support, or agentic automation
- Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems
- Understanding of multi-cloud environments (AWS, Azure, GCP), compliance, and security constraints
Pay Range Transparency
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. For more information regarding which range your location is in visit our page here.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Sr Technical Solutions Engineer, Platform
P-1524; This role is hybrid with 3 days in our Amsterdam office.
As a Sr. 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
What we look for:
- Minimum 4 years of 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.
- 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.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Sr Software Engineer- Customer Experience Intelligence (CXI)
P-1651
At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact.
Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started.
As a Sr. Software Engineer for Customer Experience Intelligence, you’ll shape the future of how Databricks supports customers at scale. You’ll design intelligent, AI-powered systems that make support faster, smarter, and more effortless — turning complexity into clarity for thousands of users.
In this role, you’ll work hands-on with teams across Support, Product, and Platform Engineering to build seamless systems that anticipate customer needs before they arise.
Building the technical foundation that transforms how customers experience support — where issues are auto-diagnosed, solutions are delivered instantly, and engineers focus their time on the toughest challenges. Your success will mean customers moving faster, trusting Databricks deeper, and feeling the impact of your systems every day.
The Impact You Will Have:
- Contribute to the technical vision and architecture for Databricks’ Support Automation and Tooling ecosystem
- Development of automation to improve customer experience and Support scalability
- Drive rapid, iterative development while upholding quality, safety, and reliability standards
- Design agentic workflows that evolve from human-in-the-loop to fully automated systems
- Implement observability, transparency, and rollback mechanisms for AI-driven decisions
- Act as technical liaison between Support, Product, and Platform Engineering to align technical roadmaps and unblock dependencies
- Set a high engineering bar for quality, reliability, and maintainability in line with Databricks standards
- Mentor engineers and SMEs across Software and Support Engineering functions
What we look for:
- BS or higher degree in Computer Science or a related field.
- Experience in large projects similar to those described, including automation tooling, distributed systems, and API’s
- Extensive full stack development experience
- Proven success designing and deploying production-grade automation in complex technical environments
- Hands-on experience with ML-assisted systems, decision support, or agentic automation
- Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems
- Understanding of multi-cloud environments (AWS, Azure, GCP), compliance, and security constraints
Pay Range Transparency
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. For more information regarding which range your location is in visit our page here.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Staff Platform Monitoring Engineer
P-1521
Note that this is a hybrid role and the person needs to go to the office, based in Amsterdam, at least 3x a week.
Platform Monitoring Engineer
Mission
At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
We are seeking an exceptional Senior Platform Monitoring Engineer to join our Platform Monitoring Team. This is a high-impact technical role for someone who thrives at the intersection of platform reliability, incident response, and customer obsession. You will serve as a critical first responder for the Databricks Platform, leading complex investigations, designing observability solutions, and driving systemic improvements that enhance customer experience and platform stability.
The Impact You Will Have
- Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimize customer impact.
- Conduct thorough post-incident root cause analysis across infrastructure, services, and cloud providers to identify systemic patterns and prevent future occurrences.
- Design and implement customer-focused alerting pipelines and end-to-end observability workflows to enhance detection coverage and reduce mean time to detection.
- Build automation tools, establish reusable monitoring patterns, and resolve reliability gaps that directly impact customer experience.
What We Are Looking For:
- Minimum of 5 years of experience as an SRE, DevOps Engineer, Production Engineer, or similar role.
- Production-level experience with at least one major cloud provider (AWS, Azure, GCP) and proficiency in container and orchestration technologies (Docker, Kubernetes).
- Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, PagerDuty, etc. Ability to architect monitoring solutions that correlate metrics, logs, and traces.
- Strong proficiency in Python or similar languages with the ability to build production-quality automation tools.
- Experience owning critical phases of the incident lifecycle from detection through resolution and post-mortem analysis in demanding production environments.
- BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Sr. Staff/ Staff Backline Technical Solution engineer
P-1515
At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Backline Technical Solutions Engineer you will help our customers to be successful with the Databricks platform by resolving important technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Manager of the Backline Engineering Team.
The impact you will have:
- Troubleshoot and resolve complex customer issues related to the Databricks Platform by analyzing the core component metrics and logs.
- Provide suggestions and best practice guidance for improving performance in customer-specific environments and providing product improvement feedback.
- Help the support team with detailed troubleshooting guides and runbooks.
- Contribute to automation and tooling programs to make daily troubleshooting efficient.
- Partner with the engineering team and spread awareness of upcoming features and releases.
- Identify and contribute supportability features back into the product.
- Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests.
- Participate in weekend and weekday on-call rotation.
What we look for:
- 12+ years of industry experience
- Experience with supporting Java, Scala or Python based applications.
- Expert in scripting using Python or Shell.
- Comfortable with black box troubleshooting.
- Experience troubleshooting issues related to "Distributed Big Data Computing" environment.
- Experience with SQL-based database systems.
- Experience in Linux and network troubleshooting is required.
- Experience with AWS, Azure or GCP related services.
- Bachelor's degree in Computer Science or a related field is required
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Sr. Technical Solutions Engineer, Databases
CSQ427R82
As a Sr. Technical Solutions Engineer, you will provide technical support for Neon and 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 Neon and the wider Databricks ecosystem
- Provide best practices support for custom-built solutions developed by 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:
- A thorough knowledge of PostgreSQL is required. Working and hands-on experience with other SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is desirable
- Experience of at least one of the following :
- Designing, building, testing, and maintaining Python/Java/Scala based applications, with a thorough knowledge of python.
- Developing with Spark and any of : Big Data, Hadoop, Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch
- Linux/Unix administration skills.
- Hands-on experience with AWS, Azure or GCP.
- Candidates must possess excellent English written and oral communication skills.
- Experience with the "Distributed Big Data Computing" environment.
- Technical degree or the equivalent experience.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Staff Backline Engineer (Spark)
Mission
Databricks helps data teams solve the world’s toughest problems. As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition Databricks is venture-backed and founded by the original creators of popular open source projects: Apache Spark™, Delta Lake and MLflow.
As a Staff Backline Engineer you will help our customers to be successful with the Databricks Data Intelligence platform by resolving important technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Senior Backline Manager of the Backline Escalations Team.
Outcomes
- Troubleshoot, resolve and suggest deep code-level analysis of Spark to address complex customer issues related to Apache Spark™ core internals, Spark SQL, Structured Streaming and Databricks Delta.
- Provide best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers.
- Help the support team with detailed troubleshooting guides and runbooks.
- Contribute to automation and tooling programs to make daily troubleshooting efficient.
- Work with the Spark Engineering Team and spread awareness of upcoming features and releases.
- Identify Spark bugs and suggest possible workarounds.
- Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
- Participate in weekend and weekday on call rotation.
Competencies
- 12+ years of industry experience developing, testing, and sustaining Python or Java or Scala-based applications.
- Comfortable with compiling, building and navigating the Apache Spark source code.
- Comfortable with identifying and applying patches/bug fixes to the Apache Spark source code.
- Experience in Big Data/Hadoop/Spark/Kafka/Elasticsearch data pipelines.
- Hands-on experience with SQL-based database systems.
- Experience in JVM, GC, Thread dump-based troubleshooting is required.
- Experience with AWS or Azure related services.
- Bachelor's degree in Computer Science or a related field is required.
Why Join Us?
- Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company.
- Career Growth: Opportunities for professional development and career advancement.
- Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Sr. Designated Support Engineer, Spark
P-1448
Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.
Summary: Databricks is seeking an experienced Premier Support Engineer with a strong technical foundation and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Designated Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.
The impact you will have:
- Manage large strategic accounts to provide high-touch support experience
- Project manage all open support cases to expedite support ticket closure
- Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution
- Directly engage on business-impacting situations and ensure recovery of functionality for the customer.
- Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays and mitigate issues
- Effectively use sound business judgment, risk avoidance and SME resources to coordinate team efforts to solve problems
- Carry out regular reviews of customer cases to identify trends
- Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders
- Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools
What we look for:
- 5+ years of customer-facing experience as a Support Engineer, Technical Account Manager, DSE or in related areas
- Minimum 3 years’ experience designing and developing, testing, and sustaining Python/Java/Scala-based applications required
- Highly effective with project managing multiple tasks and work streams, driving them to conclusion
- Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
- Excellent executive presence. You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Staff Data & AI Technical Solutions Engineer
P-1398
Note: this is a hybrid role and requires ~3 days in the office in Plano, Tx.
Mission
As a Staff Data & AI Technical Solutions Engineer, you will personally drive and mentor others in producing Data & AI technical solutions for any issues reported by customers - including deep diving into production data pipelines, AI workflows, streaming data ingestion, and more. You have deep expertise in Data & AI architectures, having seen a broad set of use cases and successfully maintained complex production environments while adhering to SLA’s. You collaborate effectively with other teams, such as product engineering and customer account teams, to deliver results for customers, especially during critical production downtime situations. You provide customers with the guidance, knowledge, and expertise to build performant architectures and reliable services to achieve their strategic objectives using Databricks’ platform. Reporting to a TSE manager, you are a technical expert within a world-class global support engineering organization, recognized for your leadership, technical depth, and ability to troubleshoot even the most complex customer situations.
The impact you will have:
- Be directly responsible for leading and driving technical solutions for a breadth of complex problems reported by Databricks customers, including escalated and critical scenarios.
- Deep Dive into code-level analysis and systems architecture of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
- Serve as a customer support advisor - be able to diffuse escalations during incidents directly with customer stakeholders, quickly find mitigations and solutions for advanced use cases, and be strategic at helping prevent future customer issues.
- Help make the Databricks products simpler to use and customer production environments more stable, such as by influencing Engineering and Backline Support teams to identify areas for product improvements.
- Be known as a deep technical expert and leader in the Databricks platform and productionizing systems, and mentor others in those areas to spread your knowledge.
What we look for:
- Minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines. Relevant past Spark experience is mandatory.
- Expertise in SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran).
- 5 years of hands-on experience in developing two or more Big Data technologies, such as Spark & Hadoop, Lakehouse architecture - such as Delta, Data Ingestion, Data Streaming applications, or ML/AI applications for industry use cases.
- Around 3 years of hands-on experience as a technical lead on a Data & AI Engineering team, serving as the go-to person to resolve critical issues.
- Prior Support or customer-facing experience is not required for this role, but proven ability to influence cross-functionally is, such as with internal stakeholders or engineering teams.
- Preferably: Hands-on experience with public cloud (AWS, Azure, or GCP).
- Technical degree or Bachelor's Degree in Computer Science or related field/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, and facilitate compliance with other regulations such as FedRAMP High baseline, and requirements of certain federal contracts, this role is open to United States citizens on United States Soil only.
Pay Range Transparency
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. For more information regarding which range your location is in visit our page here.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Staff Backline Engineer - Platform
P-1399
At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
About the Team:
The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasize automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.
What your impact will be:
- Act as the ultimate technical escalation point, driving the resolution of the most complex, high-stakes customer issues on the Databricks Platform through deep analysis of core components, metrics, and logs.
- Elevate global team competency by architecting standardized troubleshooting methodologies, comprehensive runbooks, and leading deep-dive technical enablement sessions.
- Champion product supportability and observability, by actively partnering with Engineering and Product teams to influence the roadmap and integrate critical feedback.
- Spearhead strategic automation and tooling initiatives, driving programs that significantly reduce manual toil and improve global MTTR (Mean Time to Resolution) metrics.
- Act as the primary technical liaison between Support and Engineering, driving the enablement strategy for upcoming product features, architectures, and releases.
- Lead cross-functional incident response, demonstrating deep ownership and coordinating seamlessly across Engineering, Escalation, and Support teams to resolve critical requests.
- Participate in weekday and weekend on-call rotations to ensure continuous coverage.
What we look for:
We are looking for candidates who demonstrate deep mastery of one of the following and related areas:
- Application Debugging: Deep expertise in troubleshooting, supporting, and maintaining complex Java, Scala, or Python-based applications
- Big Data Ecosystems: Advanced proficiency in managing, tuning, and resolving issues within distributed computing environments, with a strong emphasis on Apache Spark™ , Hadoop or other Distributed Systems
- Database Management: Proficient at debugging, tuning, and resolving issues in SQL-based relational databases, preferably Postgres
- Automation & Tooling: Advanced proficiency in building automation frameworks and system scripts using Python or bash/shell
- Infrastructure & Networking: Deep foundation in Linux system administration, kernel-level troubleshooting, and complex network diagnostics (e.g., TCP/IP Stack, DNS, routing, packet capture analysis)
- Cloud Skills: Extensive hands-on experience debugging, optimizing, and supporting highly scalable workloads across major cloud platforms (AWS, Azure, or GCP)
- Expert-level diagnostic skills, with a proven track record of pinpointing root causes in highly complex systems through advanced black-box and system-level troubleshooting
- 12+ years of highly technical industry experience in technical support, sustaining engineering or similar roles.
- Bachelor's degree in Computer Science or related fields.
Pay Range Transparency
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. For more information regarding which range your location is in visit our page here.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Staff Backline Engineer - Data & AI
P-1381
At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
About the Team:
The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.
What your impact will be:
- Deep Dive Troubleshooting: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies.
- Root Cause Analysis: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.
- Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput.
- Product Improvements: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability.
Scalability & Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation.
What we look for:
We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in all:
- Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala.
- Product Supportability Track: Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers.
- AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.
Pay Range Transparency
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. For more information regarding which range your location is in visit our page here.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Senior Backline Engineer (Platform)
P-1386
At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Backline Technical Solutions Engineer you will help our customers to be successful with the Databricks platform by resolving important technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Manager of the Backline Engineering Team.
The impact you will have:
- Troubleshoot and resolve complex customer issues related to the Databricks Platform by analyzing the core component metrics and logs.
- Provide suggestions and best practice guidance for improving performance in customer-specific environments and providing product improvement feedback.
- Help the support team with detailed troubleshooting guides and runbooks.
- Contribute to automation and tooling programs to make daily troubleshooting efficient.
- Partner with the engineering team and spread awareness of upcoming features and releases.
- Identify and contribute supportability features back into the product.
- Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests.
- Participate in weekend and weekday on-call rotation.
What we look for:
-
- 7+ years of industry experience
- Experience with supporting Java, Scala or Python based applications.
- Expert in scripting using Python or Shell.
- Comfortable with black box troubleshooting.
- Experience troubleshooting issues related to "Distributed Big Data Computing" environment.
- Experience with SQL-based database systems.
- Experience in Linux and network troubleshooting is required.
- Experience with AWS, Azure or GCP related services.
- Bachelor's degree in Computer Science or a related field is required
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Sr Backline Engineer (Apache Spark™)
Mission
Databricks helps data teams solve the world’s toughest problems. As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition Databricks is venture-backed and founded by the original creators of popular open source projects: Apache Spark™, Delta Lake and MLflow.
As a Sr Backline Engineer you will help our customers to be successful with the Databricks Data Intelligence platform by resolving important technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Senior Backline Manager of the Backline Escalations Team.
Outcomes
- Troubleshoot, resolve and suggest deep code-level analysis of Spark to address complex customer issues related to Apache Spark™ core internals, Spark SQL, Structured Streaming and Databricks Delta.
- Provide best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers.
- Help the support team with detailed troubleshooting guides and runbooks.
- Contribute to automation and tooling programs to make daily troubleshooting efficient.
- Work with the Spark Engineering Team and spread awareness of upcoming features and releases.
- Identify Spark bugs and suggest possible workarounds.
- Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
- Participate in weekend and weekday on call rotation.
Competencies
- 8+ years of industry experience developing, testing, and sustaining Python or Java or Scala-based applications.
- Comfortable with compiling, building and navigating the Apache Spark source code.
- Comfortable with identifying and applying patches/bug fixes to the Apache Spark source code.
- Experience in Big Data/Hadoop/Spark/Kafka/Elasticsearch data pipelines.
- Hands-on experience with SQL-based database systems.
- Experience in JVM, GC, Thread dump-based troubleshooting is required.
- Experience with AWS or Azure related services.
- Bachelor's degree in Computer Science or a related field is required.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Sr Data & AI Technical Solutions Engineer
P-993
Mission
As a Data & AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable production data pipelines, AI workflows, and more using the Databricks platform. You will develop product expertise in a couple of areas by advising a broad set of customers and use cases across those technologies. You will collaborate with other teams at Databricks to deliver an excellent customer experience - whether that’s product engineering teams or technical account team members. TSE’s have proven production troubleshooting and optimization experience to help our customers’ workloads run smoothly and to achieve their strategic objectives using the Databricks’ platform. Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.
The impact you will have:
- Be the first point of contact for customer production issues - provide initial analysis, troubleshooting, and resolution for data engineering and AI workloads.
- Deep Dive into code-level analysis of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
- Provide excellent customer support - be knowledgeable and empathetic in customer communications over email and video, act with a sense of urgency to find mitigations and solutions, diffuse escalations during incidents and be proactive at helping prevent future customer problems.
- Help make the Databricks products simpler to use and customer production environments more stable - such as through coordinating with Engineering and Backline Support teams to identify areas for product improvements.
- Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation to be used internally or externally by customers and partners.
What we look for:
- Minimum of 6 years of experience in designing, building, testing, and maintaining Python/Java/Scala based applications in typical project delivery and consulting environments.
- Experience with SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran).
- 3 years of hands-on experience in developing two or more Big Data technologies such as Spark & Hadoop, Lakehouse architecture - such as Delta, Data Ingestion, Data Streaming applications, or ML/AI applications for industry use cases.
- Hands-on experience in performance tuning and troubleshooting of Data and AI applications at production scale - including query optimization, memory management, garbage collection, and heap/thread dump analysis.
- Prior Support or customer facing experience is not required for this role, but the ability and desire to develop excellent customer service skills is.
- Preferrable: Hands-on experience with public cloud (AWS or Azure or GCP).
- Technical degree or the equivalent experience.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Senior Technical Solutions Engineer, Platform
P-362 - This role is hybrid with 3 days in our Heredia office.
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
What we look for:
- Minimum 4 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.
- 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.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks
Senior Technical Solutions Engineer, Platform
P-343 - This role is hybrid with 3 days in our Plano office.
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
What we look for:
- 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
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. For more information regarding which range your location is in visit our page here.
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
Ready to apply?
Apply to Databricks