Cushman & Wakefield ir globāls komerciālā nekustamā īpašuma pakalpojumu uzņēmums, kas klientiem sniedz pakalpojumus aģentūras nomas, aktīvu pārvaldības, kapitāla tirgu, nekustamā īpašuma lietotāju apkalpošanas, projektu un attīstības, nomnieku pārstāvības, kā arī vērtēšanas un konsultāciju jomā. Uzņēmuma darbība aptver tādas nozares kā loģistika un rūpniecība, daudzdzīvokļu dzīvojamie projekti, mazumtirdzniecība, dzīvības zinātnes, datu centri un veselības aprūpe. Vairāk nekā 60 valstīs strādājošie profesionāļi apvieno tirgus zināšanas un izpēti ar uzmanību klientu apkalpošanai, daudzveidībai, vienlīdzībai un iekļaušanai, kā arī vides, sociālās atbildības un pārvaldības prioritātēm.
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.
Amerikas Savienotās Valstis140 250 $ – 165 000 $ / gads
AttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu inženierisApraksts
- 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.
Prasības
- 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.
Priekšrocības
- 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