Sr Data & AI Technical Solutions Engineer jobs in United States
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Databricks · 1 week ago

Sr Data & AI Technical Solutions Engineer

Databricks is a data and AI company that provides a unified platform for data intelligence. As a Sr Data & AI Technical Solutions Engineer, you will assist customers in debugging and maintaining production data pipelines and AI workflows, while collaborating with various teams to enhance customer experience.

AnalyticsArtificial Intelligence (AI)Data StorageInformation TechnologyMachine Learning
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

PythonBig Data technologiesSQL databasesPerformance tuningPublic cloud (AWS/Azure/GCP)Customer service skillsTechnical degree

Required

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
Technical degree or the equivalent experience

Preferred

Hands-on experience with public cloud (AWS or Azure or GCP)

Benefits

Comprehensive benefits and perks that meet the needs of all of our employees

Company

Databricks

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Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture.

H1B Sponsorship

Databricks has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (385)
2024 (319)
2023 (227)
2022 (222)
2021 (166)
2020 (64)

Funding

Current Stage
Late Stage
Total Funding
$25.81B
Key Investors
Counterpoint GlobalFranklin TempletonAndreessen Horowitz
2025-12-16Series Unknown· $4B
2025-09-08Series Unknown· $1B
2025-01-13Debt Financing· $5.25B

Leadership Team

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Ali Ghodsi
CEO and Co-founder
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David Conte
Chief Financial Officer
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Company data provided by crunchbase