Principal Data Engineer at Cushman & Wakefield

Compensation

$157,250 – $185,000/yr

Setup: Remote, Hybrid
Type: Full-time
Level: Principal

Description

The Principal Data Engineer at Cushman & Wakefield is a senior technical leader responsible for solving complex data engineering challenges and shaping enterprise-wide data architecture within the TDS Technology and Data Solutions team. This role involves designing and implementing scalable data solutions on Databricks and the Azure ecosystem, establishing engineering standards, and driving architectural best practices. The Principal Data Engineer will also mentor engineers, promote technical excellence, and act as a trusted advisor to translate business needs into effective data strategies.

Required Skills

data engineering experience
Databricks
Azure data ecosystem
end-to-end data architectures
modern data architecture patterns
DataOps practices

Additional Information

Required Previous Experiences: Extensive data engineering experience at increasing levels of seniority, with a clear track record of delivering production-grade data platforms and pipelines at scale.
Demonstrable experience designing and implementing end-to-end data architectures for complex, enterprise-scale environments.
Proven ability to mentor engineers, lead through influence (without direct reports), and raise team-wide standards for technical excellence.
Preferred Qualifications: Experience embedding across multiple teams, geographies and time zones as a senior technical contributor or technical lead.
Familiarity with CI/CD and infrastructure-as-code tooling for data pipelines using Azure DevOps, Databricks Automation Bundles (DABS), GitHub Actions, or equivalent.
Good understanding of data governance, metadata management, and cataloguing in enterprise environments