Senior Data Solutions Architect, FinServ

WinsAbove; Washington (NC); On-site; USD 219,100 - 301,300; Full time

Job summary

Databricks is seeking Solutions Architects to lead customer engagements and architect data-driven platforms on the Databricks Data Intelligence Platform. You will work with customers, product teams, post-sales, and partners to identify use cases, develop architectures, and guide implementation for meaningful business outcomes.

You will travel to meet customers, build reference architectures, and promote Spark, Delta Lake, MLflow, and Unity Catalog across communities.

Qualifications

• 10+ years in a customer-facing pre-sales or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in Python, SQL, Scala, Java, or R
• Experience with cloud providers (AWS, Azure, or GCP) and data engineering tools
• Undergraduate degree or higher in engineering or mathematics

Responsibilities

• Partner with the sales team to help customers understand how Databricks can help solve business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture and validate integrations with cloud services and 3rd party apps
• Build and present reference architectures and how-tos for customers
• Promote open source projects like Spark, Delta Lake, MLflow, and Unity Catalog across developer communities
• Travel to meet customers in your territory

Skills

Customer-facing experience

Distributed data systems design

Programming: Python/SQL/Scala/Java/R

Cloud technologies (AWS/Azure/GCP)

Education

Engineering or mathematics degree

Tools

Spark

Hadoop

Kafka

SQL

Delta Lake

Job description

Databricks is seeking Solutions Architects to lead customer engagements and architect data-driven platforms on the Databricks Data Intelligence Platform. You will work with customers, product teams, post-sales, and partners to identify use cases, develop architectures, and guide implementation for meaningful business outcomes.

You will travel to meet customers, build reference architectures, and promote Spark, Delta Lake, MLflow, and Unity Catalog across communities.