Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.
Open Positions at Databricks
358 open positions
Customer-facing Specialist Solutions Architect guiding strategic customers in designing and implementing secure, production-grade big data solutions on the Databricks Data Intelligence Platform. The role combines cloud architecture, security, data platform engineering, technical sales support, and community engagement.
Serve as a Staff Designated Support Engineer and technical subject matter expert for Databricks’ largest Digital Native Business customers. Diagnose complex Spark and data-platform issues, deliver tailored technical solutions, and act as a trusted customer-facing advisor.
Serve as a senior, customer-facing technical expert helping Databricks’ largest digital-native customers resolve complex Apache Spark, data, and AI platform challenges. The role combines advanced troubleshooting, solution prototyping, performance optimization, technical enablement, and close collaboration with Field and Engineering teams.
Senior Solutions Architect leading complex enterprise data and AI engagements, platform adoption, and executive customer relationships for Databricks. The role combines deep technical architecture, strategic account leadership, competitive positioning, and mentorship.
Staff Software Engineer on Databricks’ Lakeflow Disaster Recovery team, designing distributed systems that replicate and recover streaming and batch data pipelines across regions. The role focuses on consistency, failover, recovery correctness, and preventing data loss or duplication during infrastructure failures.
Senior Full Stack Developer building production-grade AI agents and LLM-powered applications with React, Python, and agent orchestration frameworks. The role spans frontend development, backend integration, observability, and enterprise application scalability.
Lead the technical direction and delivery of Genie One across web, native mobile, and desktop platforms. Build coherent, secure, customer-facing experiences and shared foundations across iOS, Android, macOS, and Windows.
Senior Solutions Architect leading complex enterprise data and AI engagements, with executive influence, deep Databricks expertise, and hands-on technical architecture. The role combines strategic customer advisory, platform adoption, competitive positioning, and mentorship across the field engineering organization.
Sr. Solutions Engineer leading customer-facing technical discovery, solution design, demonstrations, and proofs of concept on the Databricks Platform. The role combines hands-on coding and cloud/data architecture with technical pre-sales and account strategy.
Lead customer-facing technical strategy as a Solutions Architect at Databricks, designing production-grade data and AI solutions and driving platform adoption. The role combines architecture leadership, live coding, technical pre-sales, and trusted-advisor responsibilities.
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