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Sr. Solutions Architect

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Bengalurufull-timePosted 2mo ago

About the role

Senior Solutions Architect shaping the Data & AI landscape by advising sales, collaborating with product/engineering, and architecting solutions using the Databricks Lakehouse Platform for enterprise customers.

Responsibilities

  • Partner with the sales team and provide technical leadership to help customers understand how Databricks can solve their business problems.
  • Develop account strategies with the sales team and execute them to help customers solve business problems with Databricks.
  • Consult on Big Data architectures, implement proofs of concept for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows; validate integrations with cloud services, home grown tools, and other 3rd party applications.
  • Collaborate with fellow Solutions Architects to support customers and users.
  • Become an expert in and promote Databricks open-source projects (Spark, Delta Lake, MLflow) within the developer community.

Qualifications

  • 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
  • 8+ years of experience with Big Data technologies (e.g., Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra)
  • Strong consulting / customer facing experience with external clients across multiple industries
  • Coding experience in Python, R, Java, Apache Spark, or Scala
  • Experience building distributed data systems
  • Built solutions with public cloud providers (AWS, Azure, or GCP)
  • Willingness to travel to customers in the region
  • Databricks Certification (nice to have)

Skills

Required:Big Data architectureCloud platformsProgramming

Benefits

  • Benefits details available via regional link (click here)
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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