Cushman & Wakefield je globalno podjetje za storitve na področju poslovnih nepremičnin, ki strankam nudi podporo pri posredovanju pri oddaji nepremičnin, upravljanju sredstev, kapitalskih trgih, storitvah za uporabnike nepremičnin, projektnih in razvojnih storitvah, zastopanju najemnikov ter vrednotenju in svetovanju. Njegovo delo zajema sektorje, kot so logistika in industrija, večstanovanjske nepremičnine, trgovina na drobno, vede o življenju, podatkovni centri in zdravstvo. Podjetje z zaposlenimi, ki delujejo v več kot 60 državah, združuje poznavanje trga in raziskave s poudarkom na storitvah za stranke, raznolikosti, pravičnosti in vključevanju ter okoljskih, družbenih in upravljavskih prednostnih nalogah.
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.
Združene države Amerike140.250 $ – 165.000 $ / leto
Na daljavoPolni delovni časSeniorZahtevani Jezik: angleščinaPodatkovni inženirOpis
- 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.
Zahteve
- 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.
Ugodnosti
- 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