Databricks is hiring a Solutions Architect to lead the growth of the Databricks Unified Analytics Platform. In this customer-facing role, you will work with customers, teammates, product, and post-sales teams to identify use cases, develop architectures, and guide implementation.
What You'll Do
- Partner with the sales team to help customers understand how Databricks solves their business problems.
- Provide technical leadership for customers to evaluate and adopt Databricks.
- Consult on big data architecture, implement proof of concepts for strategic projects, and validate integrations with cloud services.
- Build and present reference architectures, how-tos, and demo applications for customers.
- Become an expert in and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, Koalas) across developer communities.
- Travel to customers in your region.
What We're Looking For
- 8+ years in a customer-facing pre-sales, technical architecture, or consulting role.
- Experience designing and architecting distributed data systems.
- Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R.
- Experience supporting Public Sector clients.
- Have built solutions with public cloud providers such as AWS, Azure, or GCP.
- Experience with Data Engineering technologies (e.g., Spark, Hadoop, Kafka).
- Experience with Data Warehousing (e.g., SQL, OLTP/OLAP/DSS).
- US Citizen.
Nice to Have
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
Technical Stack
- Apache Spark, MLflow, Delta Lake, Koalas
- Python, Scala, Java, SQL, R
- AWS, Azure, GCP
- Hadoop, Kafka
Team & Environment
This role is part of the Field Engineering team and reports to a Field Engineering Manager.
Benefits & Compensation
- Compensation Range: $219,100—$301,300 USD.
Work Mode
This role is based locally within the US.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
