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Solutions Architect - Financial Services (Asset and Wealth Management)Databricks · Chicago, Illinois; Massachusetts; New Jersey; New York
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Databricks

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Solutions Architect - Financial Services (Asset and Wealth Management)

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🗓️ Posted 2026-08-26 Chicago, Illinois; Massachusetts; New Jersey; New York Hybrid ICT
💰 Salary Not shared 📊 Market NA

About the Company

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark , Delta Lake, and MLflow.

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 for strategic customer projects, and validate integrations with cloud services and other 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, and Unity Catalog) across developer communities through meetups, conferences, and webinars
  • ● Travel to meet with customers in your territory

Requirements

  • ● 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
  • ● Experience designing and architecting distributed data systems
  • ● Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
  • ● Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
  • ● Experience building solutions with public cloud providers such as AWS, Azure, or GCP
  • ● Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • ● Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
  • ● Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)