Data Platform Engineer Databricks

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

• We are seeking a seasoned professional whose role sits at the intersection of platform engineering, data engineering, and data product development. You will build reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerate good prototypes to production.
• This is a contractor position.

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.

Mandatory Skills Description

• 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

Nice‑to‑Have Skills Description

• Financial domain experience, especially quant research