Solutions Architect
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 job
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)
Skills
SparkDelta LakeMLflowPythonScalaJavaSQLRAWSAzureGCPKafkaHadoop