Lead Data Engineer

Cushman & Wakefield

Base: $86,615.00 - $101,900.00; bonus/equity: not ...
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Databricks and delta lake in azure
Databricks ecosystem expertise
Expert-level sql skills
** Cushman & Wakefield is seeking a Lead Data Engineer to architect and lead the development of enterprise-scale data platforms and advanced analytics solutions. The ideal candidate should possess extensive experience in cloud-native data engineering, particularly with Databricks and Azure technologies, along with strong leadership and mentoring abilities. **

Job Summary

  • The Lead Data Engineer helps architect and lead the development of enterprise-scale data platforms and advanced analytics solutions across multiple business units and subject areas.
  • This role combines deep technical expertise with leadership and mentoring responsibilities, driving innovation and best practices across the data engineering function.
  • In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.

Matching Summary

Match Score: 75

** Cushman & Wakefield is seeking a Lead Data Engineer to architect and lead the development of enterprise-scale data platforms and advanced analytics solutions. The ideal candidate should possess extensive experience in cloud-native data engineering, particularly with Databricks and Azure technologies, along with strong leadership and mentoring abilities. **

Salary

Base: $86,615.00 - $101,900.00; Bonus/Equity: Not specified; Benefits: health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work

Skills & Requirements

Must-have

  • Databricks and Delta Lake in Azure
  • Databricks ecosystem expertise
  • Expert-level SQL skills
  • CI/CD and Infrastructure as Code
  • Cloud-native data architecture
  • Scalable data pipelines
  • Spark Structured Streaming

Nice-to-have

  • Machine learning pipelines integration
  • Data mesh architecture design
  • Test-driven development
  • Real-time integrations or IoT
  • Data governance frameworks

Key Requirements

  • 6+ years in cloud-native data engineering
  • 3+ years with Databricks and Delta Lake in Azure
  • 2+ years in technical leadership or architecture
  • Proficiency in PySpark, Scala, R, Python
  • Experience with Git and Databricks Asset Bundles

Work Rights

Not specified

Tailored Resume

Cover Letter