Databricks Architect jobs in United States
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Cushman & Wakefield · 1 hour ago

Databricks Architect

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. This role focuses on architecting the next generation of data platforms, driving the adoption of modern technologies, and ensuring alignment with enterprise goals and governance standards.

CommercialCommercial Real EstateConsultingLeasingLegalProperty Management
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H1B Sponsor Likelynote

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 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
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

Qualification

Azure DatabricksData EngineeringCloud Data PlatformsPythonData GovernanceDevOps PracticesData ModellingAI/ML IntegrationPerformance TuningCI/CD PipelinesData SecurityContinuous ImprovementAutomated TestingData LifecycleMaster Data ManagementDocker/KubernetesData MeshData FabricData LakehouseDatabase Lifecycle ManagementScalaModel TrainingProduction DeploymentDatabricks CertifiedMentoringCollaborationDocumentation

Required

Bachelor's or Master's 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
Experience with building Databricks Delta Lake based Lakehouse using DLT, PySpark Jobs, Databricks Workflows, Unity Catalog and Medallion architecture from the ground up
Strong understanding of data security principles and best practices
Experience with Databricks monitoring and performance tuning tools
Hands-on experience integrating with data governance and master data management platforms such as Profisee
Solid understanding of DevOps and Infrastructure-as-Code practices, including CI/CD pipelines, Docker/Kubernetes, and automated deployment frameworks

Preferred

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
Certification: Databricks Certified Data Engineer Associate

Benefits

Health, vision, and dental insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life, and disability insurance programs
Paid and unpaid time away from work

Company

Cushman & Wakefield

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Cushman & Wakefield is a real estate services firm that offers retail investment, energy management, and property services.

H1B Sponsorship

Cushman & Wakefield has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (6)
2023 (2)
2022 (6)
2021 (1)
2020 (2)

Funding

Current Stage
Public Company
Total Funding
$734.8M
Key Investors
GreystoneCitizens BankVanke
2023-10-10Post Ipo Debt· $223.8M
2023-08-08Post Ipo Debt· $400M
2022-10-13Post Ipo Debt· $27.3M

Leadership Team

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Matthew Bouw
CEO Asia Pacific & EMEA
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Michelle M. MacKay
CEO
Company data provided by crunchbase