Databricks · 6 hours ago
Staff Data & AI Technical Solutions Engineer
San Francisco, California
Full-time
Hybrid
Senior Level, Lead/Staff
$102K/yr - $181K/yr
8+ years expDatabricks is a leading data and AI company, and they are seeking a Staff Data & AI Technical Solutions Engineer to drive and mentor others in producing technical solutions for customer issues. This role involves deep diving into production data pipelines and collaborating with various teams to deliver results, especially during critical situations.
Artificial Intelligence (AI)Big DataInformation TechnologyAnalyticsData IntegrationData ManagementData StorageMachine Learning
No H1B
U.S. Citizen Only
Responsibilities
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
Qualification
Required
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
Proven ability to influence cross-functionally, such as with internal stakeholders or engineering teams
Technical degree or Bachelor's Degree in Computer Science or related field/experience
U.S. Citizenship Requirement: This role is open to United States citizens on United States Soil only
Preferred
Hands-on experience with public cloud (AWS, Azure, or GCP)
Benefits
Eligibility for annual performance bonus
Equity
Company
Databricks
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture.
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
$27.25BKey Investors
JP Morgan ChaseFidelity,Insight Partners,J.P. Morgan Asset ManagementAndreessen Horowitz,Insight Partners,MGX,Thrive Capital,WCM Investment Management
2026-02-09Debt Financing· $2B
2025-12-16Series Unknown· $5B
2025-09-08Series Unknown· $1B
Leadership Team
Ali Ghodsi
CEO and Co-founder
Ion Stoica
Co-Founder & Executive Chairman
Recent News
2026-02-13
Bizjournals.com Feed (2025-11-12 15:43:17)
2026-02-11
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