Solutions Architect - Adtech
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 own the end-to-end technical strategy for your accounts, from discovery through production deployment. You'll lead architecture discussions on data engineering, ML/AI and real-time analytics, advise customer technical leaders, win competitive deals with custom solutions, develop a technical specialization, and give product feedback.
Requirements
- 6+ years in solutions architecture, data engineering, technical pre-sales, or senior technical role
- Strong Python and SQL coding proficiency
- Deep expertise in distributed data systems architecture
- Proficiency on the Databricks Platform or ability to achieve it rapidly
- Ability to lead architecture discussions with senior stakeholders
- Experience with production deployments on AWS, Azure, or GCP
- Track record of driving platform adoption and consumption growth
- Excellent communication skills
- Bachelor's or Master's degree in Computer Science, Engineering, or quantitative discipline, or equivalent experience
Responsibilities
- Own end-to-end technical strategy for accounts
- Lead complex architecture discussions for data engineering, ML/AI, and real-time analytics
- Serve as trusted technical advisor to customer architects and leads
- Drive technical wins in competitive scenarios
- Develop an emerging technical specialization
- Orchestrate cross-functional resources to deliver solutions
- Provide structured product feedback
Hiring Process
Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check