Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
About JLL and JLL Technologies
JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. At JLL Technologies, our mission is to bring technological innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and happiness of those that occupy them.
We are seeking a visionary Staff Software Engineer with full‐stack expertise to lead and shape our data platform strategy. In this role, you will drive the architectural vision, technical strategy, and execution of a core data platform that powers data‐driven insights across JLL globally. You will lead the consolidation of siloed systems into a unified, enterprise‐grade data layer, establishing it as the single source of truth for stakeholders across the business. The ideal candidate is a distinguished technical leader and data architect who can define strategic direction, mentor engineering teams, and translate complex business challenges into transformative data solutions.
As a Staff Software Engineer, you will provide technical leadership and strategic direction for our data ecosystem.



Your "customers" span the entire organization—including executive leadership, brokers, clients, application teams, data scientists, and external partners—and your mission is to architect and deliver an enterprise data platform that generates competitive advantage through market‐leading insights. This is an opportunity to make transformative impact by establishing the foundational data architecture for intelligent applications, Agentic AI workflows, LLM‐powered assistants, and next‐generation analytics capabilities.
Define and drive the enterprise data platform strategy, consolidating integral systems into a unified, governed, and scalable data architecture that serves as the foundation for JLL's data‐driven future.
Provide technical leadership across multiple teams and initiatives, setting architectural standards, design patterns, and best practices for data engineering across the organization.
Architect sophisticated integration strategies for structured and unstructured data sources, enabling advanced analytics, AI/ML model building, and real‐time insight generation at enterprise scale.
Lead the design and development of advanced full‐stack applications and platform capabilities that seamlessly bridge structured and unstructured data, enabling intelligent search, contextual AI‐driven recommendations, and automated insight generation.




Design and implement enterprise‐grade integration frameworks, including comprehensive API strategies, integration patterns, and Model Context Protocol (MCP) implementation, enabling seamless data consumption across applications, Agentic AI systems, and analytics platforms.
Architect production‐grade machine learning and AI platforms, establishing robust MLOps practices for model training, deployment, monitoring, and governance at scale.
Design sophisticated semantic layers, ontologies, and knowledge graphs that make commercial real estate data intelligently discoverable and consumable by both human stakeholders and advanced AI/ML systems.
Drive adoption of emerging technologies and best practices across the data engineering organization.
Establish enterprise‐grade DevOps practices, observability frameworks, data governance standards, lineage tracking, and compliance mechanisms ensuring data products are production‐ready, auditable, and meet regulatory requirements.
Partner with C‐level executives, Product leadership, and Engineering leadership to align data platform capabilities with business strategy. Mentor and develop data engineers across all levels, conducting technical reviews, providing architectural guidance, and fostering a culture of technical excellence and innovation.
Serve as the technical voice for data engineering in executive forums, effectively communicating complex technical concepts, trade‐offs, and strategic recommendations to diverse audiences.
You are a distinguished technical leader with deep expertise in building enterprise‐scale data platforms and the applications that leverage them. You think strategically about data architecture, balancing immediate business needs with long‐term scalability and

📌 Staff Software Engineer (Ciudad de México)
🏢 Jones Lang LaSalle
📍 Ciudad de México