Senior Specialist Solutions Engineer (Infrastructure & Platform)
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will guide enterprise customers through the full lifecycle of Databricks on their cloud, architect secure and scalable deployments covering networking, identity and security, act as a specialist in cloud infrastructure and IaC, support competitive wins, and provide product feedback.
Requirements
- 4+ years in solutions architecture, technical pre-sales or network architecture
- Expertise in security and identity
- Expertise in cloud networking and deployments
- Platform administration experience
- Infrastructure automation with IaC tools such as Terraform
- Strong Python and PySpark/Spark coding
- Grounding in distributed data systems
- Proficiency on Databricks
- Excellent communication skills
- Bachelor's or Master's degree or equivalent experience
- Willing to travel up to 30%
Responsibilities
- Guide customers through the lifecycle of Databricks on their cloud including platform administration
- Architect secure, scalable deployments satisfying networking, identity and security standards
- Act as specialist in cloud infrastructure, IaC, networking and identity management
- Support technical wins in competitive scenarios
- Collaborate with cross-functional resources
- Provide structured product feedback