Senior Data & AI Solutions Architect (Forward-Deployed)

Databricks Inc.

Chicago (IL)

On-site

USD 182,000 - 250,208

Full time

14 days+

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Job summary

Databricks Inc. is seeking a Forward Deployed Engineer to work with customers on data and AI solutions using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and app development.

This hands-on, customer-facing role requires engineering excellence, curiosity, and strong communication with customers and teams. You will travel to customer sites up to 20% and contribute reusable assets that scale across

Qualifications

  • 6+ years of experience in data engineering, data platforms or software engineering.
  • Experience with two or more cloud ecosystems (AWS, Azure, GCP) and Spark knowledge.
  • Familiar with CI/CD for production deployments and ML/AI workflows.
  • Ability to design end-to-end data architectures with scalable components.
  • Strong stakeholder management across enterprise clients and teams.

Responsibilities

  • Lead production-grade delivery of data & AI solutions for customers.
  • Own architecture decisions and design references for engagements.
  • Collaborate with engagement managers to scope technical work.
  • Embed with customer teams and ensure successful adoption of Databricks.
  • Provide feedback to product and support to resolve issues quickly.
  • Develop reusable accelerators and best practices for scale.
  • Travel to customer sites up to 20% of the time.

Skills

Data engineering
Cloud ecosystems
Apache Spark
MLOps
CI/CD

Tools

Databricks platform

Job description

Databricks Inc. is seeking a Forward Deployed Engineer to work with customers on data and AI solutions using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and app development.

This hands-on, customer-facing role requires engineering excellence, curiosity, and strong communication with customers and teams. You will travel to customer sites up to 20% and contribute reusable assets that scale across

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