Lead and shape our data platform strategy, driving the architectural vision, technical strategy, and execution of a core data platform that powers data-driven insights across JLL globally
Job Summary
Lead and shape our data platform strategy, driving the architectural vision, technical strategy, and execution of a core data platform that powers data-driven insights across JLL globally.
Partner with executive leadership, Product, Engineering, and Business teams to define the long-term roadmap and technical strategy, making transformative impact by establishing the foundational data architecture for intelligent applications, Agentic AI workflows, LLM-powered assistants, and next-generation analytics capabilities.
Provide technical leadership across multiple teams and initiatives, setting architectural standards, design patterns, and best practices for data engineering across the organization, while mentoring and developing data engineers across all levels.
Matching Summary
Lead and shape our data platform strategy, driving the architectural vision, technical strategy, and execution of a core data platform that powers data-driven insights across JLL globally.
Skills & Requirements
Must-have
enterprise-scale data platforms
full-stack expertise
data integration strategies
ML/AI platform strategy
knowledge graphs
DevOps practices
data governance standards
Nice-to-have
strategic thinking
technical excellence
leadership and influence
ownership and accountability
collaboration and communication
innovation and vision
adaptability and execution
business acumen
Key Requirements
10+ years of experience in data engineering and Big Data development
5+ years of hands-on experience with cloud platforms (Azure or AWS)
Expert-level proficiency in Python, Java, and Scala
Extensive software engineering experience in backend development
Proven expertise in data modeling and data architecture
Deep understanding of machine learning lifecycle and MLOps practices
Extensive experience with SQL, NoSQL, and AI-centric databases