Sr. Solutions Architect - GSI's and FinTech Data
Databricks · Massachusetts | New York City, NY | North Carolina · Field Engineering - FE Direct Regulated
About this role
Databricks is hiring a senior-level Solutions Architect in the software engineering function based in Massachusetts | New York City, NY | North Carolina. The posting calls out experience with Python, Java, Scala, SQL. Compensation is listed at $219,100–$301,300 per year.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Massachusetts | New York City, NY | North Carolina
- Department
- Field Engineering - FE Direct Regulated
More roles at Databricks
Job description
from Databricks careersFEQ127R13
While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.
Mission
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks