Senior Data & AI Solutions Architect (FDE)

Fdetimes; Mountain View (CA); On-site; USD 182,000 - 250,000; Full time

Job summary

Databricks is seeking a Sr. Forward Deployed Engineer to work with customers, architect end-to-end data and AI solutions on the Databricks platform. You will own architecture, lead design decisions, and deliver production-ready systems across data engineering, AI, and application development.

This hands-on, customer-facing role requires strong engineering expertise, adaptability, and excellent customer empathy to ensure successful adoption of Databricks solutions. Travel up to 20% is expected.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.
• Proficient in Python, Scala, or JavaScript/TypeScript.
• Experience with at least one major cloud ecosystem (AWS/Azure/GCP).
• Deep experience with distributed computing using Apache Spark.
• Familiar with CI/CD for production deployments.
• Knowledge of MLOps, ML/AI models and AI APIs.
• Strong architecture and design skills for secure, scalable solutions.
• Excellent communication with enterprise clients and stakeholders.
• Travel to customers up to 20%.

Responsibilities

• Lead production-grade projects delivering reference architectures and data ingestion.
• Design and build AI applications and ML/AI model integration.
• Embed with customer teams across technical ICs to executives.
• Collaborate with engineering, product, and developer relations to shape priorities.
• Provide feedback to product and support teams to guide rapid resolution.

Skills

Data engineering

Data platforms

Software engineering

Python

Scala

JavaScript/TypeScript

CI/CD

MLOps

Documentation

Enterprise clients

Travel 20%

Job description

Databricks is seeking a Sr. Forward Deployed Engineer to work with customers, architect end-to-end data and AI solutions on the Databricks platform. You will own architecture, lead design decisions, and deliver production-ready systems across data engineering, AI, and application development.

This hands-on, customer-facing role requires strong engineering expertise, adaptability, and excellent customer empathy to ensure successful adoption of Databricks solutions. Travel up to 20% is expected.