Databricks is seeking a Solutions Architect for its Financial Services team, responsible for guiding customers in adopting the Databricks Data Intelligence Platform. The role requires expertise in data engineering, big data technologies, and cloud solutions, with a focus on customer engagement and technical leadership
Job Summary
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform, exercising expertise in cloud platforms, data engineering, data analytics, data science, machine learning, and AI.
This is a customer-facing role where you will work with customers, teammates, the product team, post-sales team, and partners to identify use cases, develop architectures, and guide customers through implementation.
You will partner with the sales team, provide technical leadership, consult on big data architecture, execute proof of concepts, and build and present reference architectures.
Matching Summary
Match Score: 85
Databricks is seeking a Solutions Architect for its Financial Services team, responsible for guiding customers in adopting the Databricks Data Intelligence Platform. The role requires expertise in data engineering, big data technologies, and cloud solutions, with a focus on customer engagement and technical leadership.
Salary
$180,000—$247,500 USD
Skills & Requirements
Must-have
Databricks Data Intelligence Platform
Apache Spark, Delta Lake, MLflow
customer-facing pre-sales role
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
consulting organizations
financial services technology
financial services data providers
Key Requirements
6+ years in customer-facing pre-sales or consulting role
Experience designing and architecting distributed data systems
Programming in Python, SQL, Scala, Java, or R
Undergraduate degree or higher in engineering or mathematics