Senior Forward-Deployed Data & AI Solutions Architect

Databricks Inc.; Chicago (IL); On-site; USD 182,000 - 250,208; Full time

Benefits offered by this job

Health benefits

Equity

Annual bonus

Job summary

Databricks Inc. is seeking a Sr. Forward Deployed Engineer for Retail in Chicago, IL.

You will own the architecture, lead design decisions, and implement end-to-end data, AI, and application solutions on the Databricks platform with direct customer engagement. This hands-on, client-facing role requires 6+ years in data engineering or software, proficiency in Python/Scala/JS, cloud experience (AWS/Azure/GCP), Spark, and strong communication to deliver measurable outcomes.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.
• Strong coding skills in Python, Scala, or JavaScript/TypeScript.
• Cloud experience with AWS, Azure, or GCP and Spark runtime internals.
• CI/CD for production deployments and ML/AI model integration experience.
• Designing end-to-end data architectures with data pipelines, models, and UI.

Responsibilities

• Lead production-grade solution delivery with reference architectures and data ingestion.
• Guide transformational big data projects from design to deployment.
• Mentor and bootstrap customer projects and ensure secure, scalable architectures.
• Collaborate with engagements, product, and support teams to meet customer needs.
• Embed with customer teams and deliver accelerators and reusable assets.

Skills

Data engineering

Python

Scala

JavaScript/TypeScript

Cloud platforms

Apache Spark

CI/CD

MLOps

System architecture

Customer delivery

Job description

Databricks Inc. is seeking a Sr. Forward Deployed Engineer for Retail in Chicago, IL.

You will own the architecture, lead design decisions, and implement end-to-end data, AI, and application solutions on the Databricks platform with direct customer engagement. This hands-on, client-facing role requires 6+ years in data engineering or software, proficiency in Python/Scala/JS, cloud experience (AWS/Azure/GCP), Spark, and strong communication to deliver measurable outcomes.