Solutions Architect partnering with sales to help Financial Services customers evaluate and adopt Databricks for big data, analytics, and ML use cases. Requires 7+ years pre-sales technical architecture experience, distributed systems design, and proficiency with Spark, cloud platforms, and at least one programming language.
180k – 248k/yr
On-site7+ YOESolutions Architecture
About the role
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
Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
Build and present references architectures, how-tos, and demo applications for customers
Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
Travel to customers in your region
Requirements
7+ 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
Have built solutions with public cloud providers such as AWS, Azure, or GCP
Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
Experience supporting Financial Services clients is a plus
Nice-to-Haves
Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
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