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.

Responsibilities:

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

Requirements:

• 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

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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.

Key responsibilities include: Troubleshooting and resolving complex customer issues related to Databricks platform Providing best practices support for custom-built solutions developed by Databricks customers Delivering suggestions for improving performance in customer-specific environments Assisting with issues around third-party integrations with Databricks environment Demonstrating and coordinating with engineering and escalation teams to achieve resolution of customer issues and requests Participating in the creation and maintenance of company documentation and knowledge articles Being a true proponent of customer advocacy Strengthening your AWS/Azure and Databricks platform expertise through learning and internal training programs Participating in weekend and weekday on call rotation

Requirements include: 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

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Your responsibilities will include: Troubleshooting and resolving complex customer issues related to the Databricks Platform by analysing core component metrics and logs. Providing suggestions and best practice guidance for improving performance in customer-specific environments and providing product improvement feedback. Helping the support team with detailed troubleshooting guides and runbooks. Contributing to automation and tooling programs to make daily troubleshooting efficient. Partnering with the engineering team and spreading awareness of upcoming features and releases. Identifying and contributing supportability features back into the product. Demonstrating ownership and coordinating with engineering and escalation teams to achieve resolution of customer issues and requests. Participating in weekend and weekday on-call rotation.

We look for candidates with 12+ years of industry experience, expertise in scripting using Python or Shell, and comfort with black box troubleshooting. Experience with supporting Java, Scala or Python based applications, distributed big data computing environments, SQL-based database systems, Linux and network troubleshooting, and cloud services such as AWS, Azure or GCP is also required.

XML job scraping automation by YubHub

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.

Responsibilities:

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

Requirements:

• 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

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Your key responsibilities will include:

• Managing support escalation in partnership with engineering, product management, Customer Success Engineering, Support, Customers, and Partners until resolution.
• Achieving customer satisfaction by ensuring incidents or escalations (and related cases) are well and fully documented with the timely execution of action items.
• Creating and executing a data-driven customer recovery plan for every escalation and incident that is addressed.
• Utilizing business and technical skills to manage customer escalations, coordinate meetings and deliverables, and analyze trends and patterns for reporting purposes.
• Using data, metrics, and feedback to inform operational and tactical decisions that improve incident and escalation management.
• Coordinating all necessary resources to fast-track and resolve new incidents and escalations from customers with a clear and detailed plan.

We are looking for a candidate with a minimum of 8+ years of experience in customer support, escalation, SRE, or incident management. You should have excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences.

You will also need 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 is also essential.

A Bachelor's or Master's degree in Computer Science or Computer Engineering, or related Engineering field is preferred. Written and spoken proficiency in both Japanese and English is also required.

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