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Solutions Architect

Databricks
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Hybrid (Bengaluru, India)Full-timePosted 1mo ago

About the role

Solutions Architect in a Global Capability Center (GCC) focused Field Engineering team, working with Fortune 500 enterprises and global AI-forward SaaS customers. Embedded with named strategic accounts as a trusted technical advisor, collaborating with sales, product, and engineering to design and implement data, analytics, AI, and GenAI solutions on the Databricks platform.

Responsibilities

  • Be the trusted technical advisor for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions.
  • Help shape and drive your customer's AI strategy — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on Databricks.
  • Partner with the sales team and provide hands-on technical leadership to help large enterprise customers understand how Databricks can help solve their business problems across the full data and AI lifecycle.
  • Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, GenAI— including validating integrations with cloud services, in-house tools, and third-party applications.
  • Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.
  • Collaborate across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint.
  • Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community.

Qualifications

  • 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role.
  • 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads.
  • Strong hands-on architectural experience — able to whiteboard, design, and personally build end-to-end solutions, not just advise.
  • Demonstrated experience working with large enterprise or Fortune 500 customers; experience supporting global accounts across multiple geographies strongly preferred.
  • Experience working with digital-native or SaaS enterprises with mature data and AI practices is a strong plus.
  • Strong consulting / customer-facing experience working with external clients across a variety of industries.
  • Coding experience in Python, SQL, Scala, Java, or R.
  • Experience building distributed data systems at enterprise scale.
  • Hands-on experience with at least one major public cloud (AWS, Azure, or GCP).
  • Available to travel to customers in your region and occasionally internationally.
  • Nice to have: prior experience working in or with a Global Capability Center model; Databricks Certification.

Skills

Required:Data engineeringBig Data technologiesArchitectural designCloud computingProgramming languages
Last updated Sep 17, 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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