Senior Data & AI Solutions Architect - Finance

Databricks; Georgia; On-site; USD 219,000 - 301,000; Full time

Job summary

Databricks is seeking a Solutions Architect to drive customer adoption of the Data Intelligence Platform on the East Coast. You will partner with sales, lead technical evaluations, and architect end-to-end big-data solutions across cloud providers.

This is a customer-facing role requiring travel to meet clients and build trusted advisory relationships. You will design reference architectures, run proofs of concept, and promote open-source technologies like Apache Spark, Delta Lake, MLflow, and

Qualifications

• 8+ years in a customer-facing pre-sales or consulting role with big-data tech
• Experience designing distributed data systems
• Proficiency in Python, SQL, Scala, Java or R
• Experience with cloud providers (AWS, Azure or GCP)
• Experience with Spark, Hadoop and Kafka
• Experience with Data Warehousing (SQL OLTP/OLAP/DSS)
• Undergraduate degree or higher in engineering or mathematics

Responsibilities

• 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, execute proof of concepts, and validate integrations with cloud services and 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark, Delta Lake, MLflow, Unity Catalog) across developer communities
• Travel to meet with customers in their territory

Skills

Python

SQL

Scala

Java

R

Cloud platforms (AWS/Azure/GCP)

Spark

Hadoop

Kafka

Data Warehousing (SQL OLTP/OLAP/DSS)

Distributed data architectures

Pre-sales / consulting experience

Education

Bachelor's degree in Engineering/Mathematics or related field

Tools

Public cloud platforms (AWS/Azure/GCP)

Job description

Databricks is seeking a Solutions Architect to drive customer adoption of the Data Intelligence Platform on the East Coast. You will partner with sales, lead technical evaluations, and architect end-to-end big-data solutions across cloud providers.

This is a customer-facing role requiring travel to meet clients and build trusted advisory relationships. You will design reference architectures, run proofs of concept, and promote open-source technologies like Apache Spark, Delta Lake, MLflow, and