JobPosting
title: Sr. Solutions Architect - Financial Services (Strategic Banking)
description: Mission Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a Sr. Solutions Architect - Financial Services (Strategic Banking), you will exercise and grow your expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI, using open source projects such as Apache Spark, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, post-sales team, and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. The impact you will have: 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 What we look for: 8+ years in a customer-facing pre-sales role, or consulting role 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) …
date posted: 2026-08-03T14:05:32.164Z
valid through: 2026-10-02T14:05:32.164Z
direct apply: false
occupational category: Engineering
industry: Technology
skills: Apache Spark
skills: Delta Lake
skills: MLflow
skills: Python
skills: SQL
skills: Scala
skills: Java
skills: R
skills: AWS
skills: Azure
skills: GCP
skills: Data Engineering
skills: Data Warehousing
skills: global system integrators
skills: consulting organizations
skills: financial services technology
skills: financial services data providers
hiring organization: Databricks
  type: Organization
  founding date: 2013
  number of employees: QuantitativeValue
    value: 4000
job location: Place
  address: PostalAddress
    address locality: Georgia; Massachusetts; New York; North Carolina
employment type: FULL_TIME
base salary: MonetaryAmount
  currency: USD
  value: QuantitativeValue
    min value: 219100
    max value: 301300
    unit text: YEAR