Senior Manager, Data Engineering

🔥 6 minutes ago

🇺🇸 United States – Remote

💵 $140.3k - $165k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Cushman & Wakefield

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1917

💼 Consulting

🏥 Healthcare

🏗️ Construction

Consulting • Healthcare • Construction

Cushman & Wakefield is a global leader in commercial real estate services, providing a wide range of services including agency leasing, asset services, capital markets, global occupier services, project and development services, tenant representation, and valuation and advisory for various industries such as logistics and industrial, multifamily, retail, life sciences, data centers, and healthcare. The company is committed to driving forward for clients, colleagues, and communities with a focus on diversity, equity, and inclusion, as well as environmental, social, and governance principles. Operating in over 60 countries with 52,000 professionals, Cushman & Wakefield consistently delivers insights and research, such as market reports and sustainability efforts.

📋 Description

• Lead the design, build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products on Databricks and Azure • Contribute hands-on to high-impact pipelines, code reviews, architecture reviews, and complex troubleshooting • Champion data quality, observability, security, and governance practices • Directly manage a team of 5–8 data engineers, including hiring, onboarding, performance management, compensation recommendations, and retention • Provide coaching, feedback, and career development planning • Foster an inclusive, high-trust team culture • Plan, prioritize, and orchestrate the team’s data engineering portfolio • Establish and refine agile delivery practices, including intake, estimation, sprint planning, and retrospectives • Identify, communicate, and resolve risks, blockers, and cross-team dependencies • Own production health for the team’s data products, including SLAs, on-call posture, incident response, and post-incident learning • Build relationships with business and technology stakeholders and translate objectives into prioritized data engineering outcomes • Partner with architecture, data engineering, AI, governance, and product teams to deliver end-to-end data solutions • Communicate technical concepts, trade-offs, roadmaps, and progress to engineers and senior executives • Help shape data engineering strategy, standards, and execution across the organization

🎯 Requirements

• Significant data engineering experience • Hands-on experience with Databricks, including Spark, Lakeflow, Spark Declarative Pipelines (DLT), Delta Lake, Lakebase/Postgres, and Unity Catalog • Experience with the Azure data ecosystem • Demonstrable experience formally managing data engineers, including hiring, performance management, and career development • Track record of delivering production-grade data platforms and pipelines at scale • Strong attention to reliability, security, and cost • Ability to lead complex technical work through influence, not authority • Excellent communication, stakeholder management, and prioritization skills in a global, matrixed environment • Client-service mindset • Familiarity with modern data architecture patterns, including Lakehouse, Unity Catalog, medallion, and data mesh • Familiarity with DataOps practices • Familiarity with metadata-driven and configuration-driven pipeline frameworks • Experience leading teams through technology transitions and adopting new data tooling • Familiarity with CI/CD and infrastructure-as-code tooling, including Azure DevOps, Databricks Automation Bundles (DABS), GitHub Actions, or equivalent • Experience leading cross-team initiatives across multiple geographies and time zones • Ability to work in the US/EMEA time zone

🏖️ Benefits

• Health insurance • Vision insurance • Dental insurance • Flexible spending accounts • Health savings accounts • Retirement savings plans • Life insurance • Disability insurance • Paid time away from work • Unpaid time away from work • Competitive pay • Inclusive culture • Career development planning and coaching