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 SLAs. 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 Bachelors 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.

Required Experience:

Staff IC