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Solutions Architect - Financial Services (Professional Services) Databricks · Illinois; Massachusetts; New Jersey; New York; Washington, D.C.
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Databricks

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Solutions Architect - Financial Services (Professional Services)

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🗓️ Posted 2026-08-18 Illinois; Massachusetts; New Jersey; New York; Washington, D.C. Hybrid ICT
💰 Salary Not shared 📊 Market ₹14,000–₹25,000/mo

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops

Role & 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

Education

  • ● Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Experience

  • ● 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 working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
  • ● Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • ● Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)

Skills

  • ● Experience designing and architecting distributed data systems
  • ● Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
  • ● Experience building solutions with public cloud providers such as AWS, Azure, or GCP