Databricks Platform Engineer — Data Products

Luxoft; Los Angeles (CA); On-site; USD 152,000 - 303,000; Part time

Job summary

Luxoft is seeking a seasoned professional at the intersection of platform engineering, data engineering, and data product development for a contractor position in Los Angeles. You will design, build, and enhance platform capabilities within Databricks, create reusable data products, and accelerate research-to-production by establishing scalable patterns and robust integration frameworks.

Collaborate with researchers and engineers to reduce friction between research and production workflows,

Qualifications

• 8+ years of platform and data solutions experience.
• Hands-on Databricks experience (workspace, notebooks, jobs) and building platform capabilities.
• Python.
• SQL.
• Modern CI/CD, IaC (Terraform strongly preferred).
• Data Governance and observability (Unity Catalog, lineage, monitoring).
• Orchestration (Airflow).
• AI fluency: use of AI agents (Claude Code preferred) as a primary tool to design, build, test, and support solutions.

Responsibilities

• Design, build, and enhance platform capabilities within Databricks and related technologies.
• Build reusable data products and self-service capabilities.
• Design and maintain data pipelines and integration frameworks.
• Improve data quality, reliability, lineage, and monitoring.
• Accelerate research-to-production delivery: prototype solutions alongside researchers; establish patterns that make productionization easier and faster; reduce friction between research and engineering workflows.

Skills

Platform experience

Databricks experience

Python

SQL

Terraform (IaC)

CI/CD

Data governance

Airflow

AI fluency (Claude Code)

Job description

Luxoft is seeking a seasoned professional at the intersection of platform engineering, data engineering, and data product development for a contractor position in Los Angeles. You will design, build, and enhance platform capabilities within Databricks, create reusable data products, and accelerate research-to-production by establishing scalable patterns and robust integration frameworks.

Collaborate with researchers and engineers to reduce friction between research and production workflows,