Senior Manager - Architect Data Engineering
Senior Manager - Architect Data Engineering
Posted on :
31-08-2025
Employer Active
1 Vacancy
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Monthly Salary
$ 132600 - 156000
Vacancy
1 Vacancy
Posted on :
31-08-2025
Job Description
Job Title
Senior Manager - Architect Data EngineeringJob Description Summary
Cushman & Wakefield is seeking a highly skilled Architect Data Engineering to play a pivotal role in designing scalable secure and high-performing data solutions across the enterprise. Reporting to the Director of Data Engineering & Analytics this role will focus on architecting the next generation of data platforms driving the adoption of modern technologies and ensuring alignment with enterprise goals and governance standards.As part of Cushman & Wakefields broader mission to deliver exceptional value through real estate services this role serves as a hands-on architect who blends technical depth with strategic insight to shape data engineering analytics and AI/ML capabilities in unlocking the power of data to inform decisions optimize performance and create competitive advantage for clients and internal stakeholders.
Job Description
Key Responsibilities
- Design and lead end-to-end architecture for modern cloud-native data engineering AI/ML and analytics platforms across the full data lifecycle including ingestion storage transformation and consumption.
- Architect high-performance data solutions using Azure Synapse Analytics Microsoft Fabric Azure Databricks Power BI Tableau Python and other relevant technologies.
- Collaborate with technology leadership and engineering teams to align solutions with enterprise strategy business goals and innovation roadmaps.
- Define and enforce standards for data quality metadata lineage and governance in partnership with data governance and MDM teams using tools like Profisee and Azure Purview.
- Provide architectural guidance for AI/ML integrations including data preparation feature engineering and model deployment support.
- Conduct design reviews architectural assessments and performance tuning to ensure system reliability scalability and maintainability.
- Develop and maintain reusable patterns frameworks and coding standards in Python PySpark and SQL.
- Collaborate with product managers engineering leads analysts and data scientists to deliver high-impact cross-functional solutions.
- Drive the evaluation and adoption of emerging technologies in cloud data platforms streaming analytics and intelligent automation.
- Mentor data engineers and oversee best practices in solution design code quality documentation and continuous improvement.
- Support DevOps and DataOps initiatives by integrating CI/CD pipelines Git workflows and automated testing into engineering workflows.
Qualifications
- Bachelors or Masters degree in Computer Science Information Systems Data Engineering or a related field.
- 10 years of progressive experience in data engineering data modelling including at least 5 years in an architecture-focused or lead technical role.
- Proven experience architecting enterprise-grade cloud data platforms using Azure AWS or Google Cloud.
- Deep expertise in technologies such as Azure Data Factory Azure Synapse Databricks Spark/PySpark and SQL-based processing.
- Strong grasp of modern data architecture paradigms including data lakehouse data fabric microservices and event-driven design patterns.
- Hands-on experience integrating with data governance and master data management platforms such as Profisee Azure Purview or equivalent tools.
- Solid understanding of DevOps and Infrastructure-as-Code practices including CI/CD pipelines Docker/Kubernetes and automated deployment frameworks.
Preferred Qualifications
- Familiarity with modern data architecture frameworks including data mesh data fabric and data lakehouse.
- Industry experience in commercial or retail real estate capital projects or other highly data-driven domains.
- Experience with Database Lifecycle Management (DLM) tools and strong understanding of CI/CD pipelines branching strategies and collaborative DevOps practices.
- Proficiency in Python Scala or similar programming languages commonly used in large-scale data engineering.
- Understanding of ML/AI model lifecycle architecture including data preparation model training and production deployment best practices.
- Relevant certifications in cloud architecture (e.g. Azure Solutions Architect AWS Certified Data Analytics) or enterprise architecture (e.g. TOGAF Framework).
Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs generally including health vision and dental insurance flexible spending accounts health savings accounts retirement savings plans life and disability insurance programs and paid and unpaid time away from addition to a comprehensive benefits package Cushman and Wakefield provide eligible employees with competitive pay which may vary depending on eligibility factors such as geographic location date of hire total hours worked job type business line and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement the geographic area in which the work will be performed market pay rates in that area and the candidates experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $132600.00 - $156000.00Cushman & Wakefield is an Equal Opportunity employer to all protected groups including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA) if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield please call the ADA line at 1- or email. Please refer to the job title and job location when you contact us.
INCO: Cushman & WakefieldRequired Experience:
Senior Manager
Employment Type
Full-Time
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