Solutions ArchitectActive

Databricks
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The opportunity

As a Solutions Architect part of a Global Capability Center(GCC) focused Field Engineering team, you will shape the future of the Data and AI landscape by working with the most sophisticated Data and AI teams in the world, including Fortune 500 enterprises and global AI-forward…

What you'll do

  • 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.

What they're looking for

  • Become an expert in, promote, and recruit contributors for: Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community.
  • + years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role.
  • + 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.