Senior Data & AI Production Architect

Databricks Inc.; United States; On-site; USD 182,000 - 250,208; Full time

Job summary

Databricks Inc. is seeking a Forward Deployed Engineer to deliver production-grade data and AI solutions for enterprise customers. You will own architecture, drive design decisions, and implement end-to-end systems across data engineering, AI, and application development.

The role blends hands-on delivery with strategic guidance and customer empathy. You will collaborate with engineering, product, and customer teams, travel up to 20% of the time, and leverage Databricks platforms to scale impact

Qualifications

• 6+ years experience in data engineering or software development.
• Proficient in Python, Scala, or JavaScript/TypeScript.
• Experience with two or more cloud ecosystems (AWS/Azure/GCP).
• Deep experience with Apache Spark and knowledge of Spark internals.
• Familiar with MLOps and ML/AI models.

Responsibilities

• Lead production solution delivery, building reference architectures and data ingestion/ML model integration.
• Guide transformational big data projects from end-to-end design to deployment.
• Bootstrap or implement customer projects to ensure understanding, evaluation and adoption of Databricks.
• Own architecture decisions to ensure secure, scalable solutions aligned with customer needs.
• Collaborate with engineering, project managers, architects and customer teams to deliver engagements.

Skills

Python

Scala

JavaScript/TypeScript

Cloud platforms

Apache Spark

CI/CD

MLOps

End-to-end architecture

Enterprise stakeholder mgmt

Travel 20%

Tools

Databricks Certification

CI/CD tooling

Job description

Databricks Inc. is seeking a Forward Deployed Engineer to deliver production-grade data and AI solutions for enterprise customers. You will own architecture, drive design decisions, and implement end-to-end systems across data engineering, AI, and application development.

The role blends hands-on delivery with strategic guidance and customer empathy. You will collaborate with engineering, product, and customer teams, travel up to 20% of the time, and leverage Databricks platforms to scale impact