Data Platform Engineer (Databricks)

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 the 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.

Skills

Must have

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

Financial domain experience, especially quant research

API development

PowerBI

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior