$152,300—$209,450 usd; not specified; not specifie...
On-site
Databricks data intelligence platform
Apache spark, delta lake, mlflow
Customer-facing pre-sales role
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform, working with customers to identify use cases, develop architectures, and guide implementation
Job Summary
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform, working with customers to identify use cases, develop architectures, and guide implementation.
Responsibilities include partnering with sales, providing technical leadership, consulting on big data architecture, executing proof of concepts, and building reference architectures.
The role requires 3+ years in a customer-facing pre-sales or consulting role, experience designing distributed data systems, and programming comfort in Python, SQL, Scala, Java, or R.
Matching Summary
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform, working with customers to identify use cases, develop architectures, and guide implementation.
Salary
$152,300—$209,450 USD; Not specified; Not specified
Skills & Requirements
Must-have
Databricks Data Intelligence Platform
Apache Spark, Delta Lake, MLflow
customer-facing pre-sales role
distributed data systems architecture
public cloud providers (AWS, Azure, GCP)
Data Engineering technologies (Spark, Hadoop, Kafka)
Data Warehousing technologies (SQL, OLTP/OLAP/DSS)
Nice-to-have
global system integrators experience
consulting organizations experience
financial services technology experience
financial services data providers experience
building relationships with customers
establishing trusted advisor status
Key Requirements
3+ years customer-facing pre-sales or consulting role
Experience designing and architecting distributed data systems
Programming in Python, SQL, Scala, Java, or R
Experience with public cloud providers (AWS, Azure, GCP)
Experience with Data Engineering technologies
Experience with Data Warehousing technologies
Undergraduate degree in engineering or mathematics