Cushman & Wakefield mijozlarga agentlik orqali ijaraga berish, aktivlarga xizmat ko‘rsatish, kapital bozorlari, ko‘chmas mulkdan foydalanuvchilarga xizmat ko‘rsatish, loyiha va rivojlantirish xizmatlari, ijarachilar vakilligi, shuningdek baholash va maslahat yo‘nalishlarida ko‘mak beruvchi global tijoriy ko‘chmas mulk xizmatlari kompaniyasidir. Kompaniya logistika va sanoat ko‘chmas mulki, ko‘p xonadonli uy-joylar, chakana savdo, hayot fanlari, ma’lumotlar markazlari va sog‘liqni saqlash kabi sohalarni qamrab oladi. 60 dan ortiq mamlakatda faoliyat yuritadigan mutaxassislari orqali kompaniya bozor haqidagi bilim va tadqiqotlarini mijozlarga xizmat ko‘rsatish, xilma-xillik, tenglik va inklyuziya, shuningdek ekologik, ijtimoiy va korporativ boshqaruv ustuvorliklariga e’tibor bilan uyg‘unlashtiradi.
Senior Manager, Data Engineering — Cushman & Wakefield (Remote, US)
Lead data engineering teams and platform delivery for Cushman & Wakefield, a global commercial real estate services firm. Build and operate Databricks and Azure data platforms while guiding governance, stakeholder outcomes, and team development.
Amerika Qo‘shma Shtatlari140 250 $ – 165 000 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisiTavsif
- Lead the development and ongoing improvement of scalable Databricks and Azure data pipelines, Lakehouse architectures, and data products.
- Contribute directly to critical pipelines, code and architecture reviews, and complex troubleshooting.
- Promote strong practices for data quality, observability, security, and governance.
- Manage 5–8 data engineers, covering hiring, onboarding, performance management, compensation recommendations, and retention.
- Coach team members, provide feedback, and plan career development.
- Create an inclusive team culture built on trust.
- Set priorities and coordinate the team’s data engineering portfolio.
- Develop and improve agile delivery practices for intake, estimation, sprint planning, and retrospectives.
- Surface and address risks, blockers, and dependencies across teams.
- Maintain the production health of team data products, including SLAs, on-call readiness, incident response, and learning after incidents.
- Build partnerships with business and technology stakeholders, turning their objectives into prioritized engineering outcomes.
- Work with architecture, data engineering, AI, governance, and product teams to deliver complete data solutions.
- Explain technical concepts, trade-offs, roadmaps, and progress to engineers and senior executives.
- Help guide organization-wide data engineering strategy, standards, and delivery.
Talablar
- Substantial experience in data engineering.
- Practical Databricks experience, including Spark, Lakeflow, Spark Declarative Pipelines (DLT), Delta Lake, Lakebase/Postgres, and Unity Catalog.
- Experience with Azure data services and tools.
- Demonstrated formal management of data engineers, including hiring, performance reviews, and career development.
- A record of delivering production-ready data platforms and pipelines at scale.
- Strong focus on reliability, security, and cost management.
- Ability to lead complex technical initiatives through influence rather than formal authority.
- Excellent communication, stakeholder management, and prioritization skills in a global, matrixed setting.
- A client-service orientation.
- Familiarity with modern data architecture approaches, including Lakehouse, Unity Catalog, medallion, and data mesh.
- Familiarity with DataOps practices.
- Familiarity with metadata-driven and configuration-driven pipeline frameworks.
- Experience guiding teams through technology transitions and adoption of new data tools.
- Familiarity with CI/CD and infrastructure-as-code tools such as Azure DevOps, Databricks Automation Bundles (DABS), GitHub Actions, or equivalents.
- Experience leading cross-team initiatives across regions and time zones.
- Ability to work across US and EMEA time zones.
Imtiyozlar
- 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