Lead Data Engineer
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Job Description
Lead Data Engineer at Cushman & Wakefield, architecting enterprise-scale data platforms and supporting integration projects. Mentoring engineers and driving innovation in cloud-native data engineering.
Responsibilities:
- Helps architect and lead the development of enterprise-scale data platforms
- Assist the project delivery team with scoping and planning integration projects
- Contribute to the design, implementation, and support of data artifacts in the data lakehouse and databases
- Collaborates with cross-functional stakeholders to translate business and technical requirements into scalable data solutions
- Manage and mentor a small team of data engineers
Requirements:
- Extensive hands-on experience (6+ years) in cloud-native data engineering
- 3+ years with Databricks and Delta Lake in Azure
- 2+ years in a technical leadership or architecture role
- Deep practical experience of the Databricks ecosystem including Delta Lake, Unity Catalog, Declarative Pipelines, Spark Structured Streaming
- Expert-level SQL skills
- Proficiency in multiple programming languages (e.g., PySpark, Scala, R, Python)
- Deep understanding of cloud-native data architecture
- Proven ability to design and deliver scalable, production-grade data pipelines
- Strong experience with CI/CD and version control (Git)
- Excellent communication and stakeholder engagement skills
Benefits:
- health insurance
- vision insurance
- dental insurance
- flexible spending accounts
- health savings accounts
- retirement savings plans
- life and disability insurance programs
- paid and unpaid time away from work
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