Solutions Architect - Financial Services (insurance)

Databricks

Georgia, US
$180,000—$247,500 usd py
On-site
Databricks data intelligence platform
Apache spark, delta lake, mlflow
Customer-facing pre-sales role
Databricks is seeking a Solutions Architect specializing in Financial Services to lead the development and implementation of their Data Intelligence Platform. The role involves collaborating with customers to create architectures and solutions using Databricks technologies and requires extensive experience in customer-facing roles within big data and cloud services

Job Summary

  • Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform, leveraging expertise in cloud platforms, data engineering, data analytics, data science, machine learning, and AI.
  • This customer-facing role involves identifying use cases, developing architectures, guiding implementations, and building relationships to achieve meaningful business outcomes for customers.
  • The role requires technical leadership to help customers evaluate and adopt Databricks, consult on big data architecture, execute proof of concepts, and build reference architectures.

Matching Summary

Match Score: 85

Databricks is seeking a Solutions Architect specializing in Financial Services to lead the development and implementation of their Data Intelligence Platform. The role involves collaborating with customers to create architectures and solutions using Databricks technologies and requires extensive experience in customer-facing roles within big data and cloud services.

Salary

$180,000—$247,500 USD

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 data providers experience
  • build relationships with customers
  • establish trusted advisor status

Key Requirements

  • 6+ years in customer-facing pre-sales or consulting
  • Programming in Python, SQL, Scala, Java, or R
  • Undergraduate degree in engineering or mathematics

Work Rights

Not specified

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