Solutions Architect
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 be the trusted technical advisor for named strategic accounts, shaping their AI strategy and designing GenAI and ML architectures on Databricks. You will partner with sales, consult on Lakehouse architectures, build proofs of concept, collaborate across regions and promote open-source projects.
Requirements
- 12+ years in data engineering, data science, technical architecture or pre-sales/consulting
- 8+ years hands-on with Big Data and AI technologies including Apache Spark
- Strong hands-on architectural experience
- Experience with large enterprise or Fortune 500 customers
- Strong consulting and customer-facing experience
- Coding experience in Python, SQL, Scala, Java or R
- Experience building distributed data systems at enterprise scale
- Hands-on experience with AWS, Azure or GCP
- Available to travel regionally and occasionally internationally
Responsibilities
- Be the trusted technical advisor for named strategic accounts
- Shape customer AI strategy and design GenAI and ML architectures
- Partner with sales to provide hands-on technical leadership
- Consult on Lakehouse architectures and implement proofs of concept
- Develop account strategies with the sales team
- Collaborate across regions with Solutions Architects and account teams
- Promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Unity Catalog)