Staff Software Engineer

JLL empowers you to shape a brighter way. 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. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. 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. In doing so, we will build a better tomorrow for our clients, our people, and our communities.

JLL Technologies is a specialized group within JLL. 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.

What this job involves

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.

What you'll get to do

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. You will partner with executive leadership, Product, Engineering, and Business teams to define the long‑term roadmap and technical strategy. 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.

Key responsibilities

• Define and drive the enterprise data platform strategy, consolidating global 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.
• Lead architectural reviews, technology evaluations, and proof‑of‑concept initiatives. 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 Engin