Solutions Architect - Financial Services (Professional Services)

What you'll do

• Partner with sales and customers to identify use cases, evaluate the platform, and guide adoption.
• Design big-data architectures, execute proofs of concept, and validate integrations with cloud services and third-party applications.
• Build and present reference architectures and demonstrations, promote open-source projects, and travel to meet customers.

What they ask for

• Experience designing and architecting distributed data systems.
• Programming and debugging experience in at least one of Python, SQL, Scala, Java, or R.
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
• Undergraduate degree or higher in an engineering or mathematics discipline.

Nice to have

• Customer-facing pre-sales or consulting experience with big-data technologies.
• Experience with financial services organizations or providers, data engineering technologies, or data warehousing technologies.

Pay

$180,000 — $247,500 USD (salary range or on-target earnings; posting does not specify which applies to this role)

Tools

Apache Spark™, Delta Lake, MLflow, Unity Catalog, Python, SQL, Scala, Java

AI focus

Uses the Databricks Data Intelligence Platform and related data science, machine learning, and AI capabilities to develop customer solutions.