About JLL and JLL Technologies 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.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 doAs 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 Strategic Architecture and Vision: 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.Technical Leadership: Provide technical leadership across multiple teams and initiatives, setting architectural standards, design patterns, and best practices for data engineering across the organization.Advanced Data Integration: 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.Platform and Application Innovation: 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.Enterprise Integration Architecture: 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.ML/AI Platform Strategy: Architect production‐grade machine learning and AI platforms, establishing robust MLOps practices for model training, deployment, monitoring, and governance at scale.AI and Knowledge Architecture: 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.Technical Excellence and Innovation: Lead architectural reviews, technology evaluations, and proof‐of‐concept initiatives.Drive adoption of emerging technologies and best practices across the data engineering organization.Enterprise Dev Ops and Governance: Establish enterprise‐grade Dev Ops practices, observability frameworks, data governance standards, lineage tracking, and compliance mechanisms ensuring data products are production‐ready, auditable, and meet regulatory requirements.Cross‐functional Leadership: Partner with C‐level executives, Product leadership, and Engineering leadership to align data platform capabilities with business strategy.Translate complex business challenges into technical roadmaps with measurable outcomes.Team Development and Mentorship:



Mentor and develop data engineers across all levels, conducting technical reviews, providing architectural guidance, and fostering a culture of technical excellence and innovation.Stakeholder Management: Serve as the technical voice for data engineering in executive forums, effectively communicating complex technical concepts, trade‐offs, and strategic recommendations to diverse audiences.Who you are 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 maintainability.You are energized by complex technical challenges and excel at designing elegant solutions to seemingly intractable problems.You have a proven track record of leading high‐performing teams and influencing technical direction across organizations.You thrive in dynamic environments where you can drive innovation while maintaining operational excellence.You demonstrate exceptional ownership and are recognized as a thought leader who elevates the capabilities of everyone around you.You exhibit exceptional ownership and executive presence with accountability for platform reliability, team performance, and business outcomes.You possess outstanding interpersonal and communication skills, translating complex technical concepts for executive audiences and mentoring engineers at all levels.You identify emerging technologies, driving their adoption to create competitive advantage, and operate effectively in ambiguous, fast‐paced environments while maintaining high standards and delivering results.You understand business drivers, aligning technical investments with business value and ROI.Qualifications and Skills Required 10+ years of experience in data engineering and Big Data development, with extensive experience architecting and delivering enterprise‐scale, fault‐tolerant data platforms.5+ years of hands‐on experience with cloud platforms such as Azure or AWS, including advanced services (e.g., Databricks, Azure Data Factory, Synapse, AWS Glue, EMR, Redshift).
Expert‐level proficiency in multiple server‐side programming languages including Python, Java, and Scala, with deep expertise in Py Spark/Spark for distributed data processing at scale.Extensive software engineering experience in backend development, including advanced Java, Spring Boot, and microservices architectures.Proven expertise in data modeling, data architecture, and designing data systems that balance performance, scalability, maintainability, and cost.Deep understanding of machine learning lifecycle, MLOps practices, model governance, and production ML systems.Extensive experience working with diverse data technologies including SQL databases (e.g., Azure SQL, Postgre SQL), No SQL databases (e.g., Cosmos DB, Mongo DB, Cassandra), and AI‐centric databases such as vector databases (e.g., Pinecone, Weaviate) and knowledge/graph databases (e.g., Neo4j, Amazon Neptune).
Demonstrated ability to architect and optimize complex data systems for performance, reliability, and cost‐efficiency.Proven track record of technical leadership, including mentoring senior engineers and leading cross‐functional initiatives.Master's degree, Engineering, Data Science, or a related field.Extensive experience with modern frontend frameworks such as React, Angular, or Vue.js, with ability to architect full‐stack solutions.Deep expertise in designing and implementing semantic layers, ontologies, and knowledge graphs for enterprise data systems.Extensive experience with streaming architectures using Kafka, Spark Streaming, Flink, or similar technologies for data ingestion and processing.Expert‐level understanding of Dev Ops principles, with hands‐on experience designing CI/CD pipelines, infrastructure as code (Terraform, Cloud Formation), and container orchestration (Kubernetes, EKS, AKS).
Significant experience with LLM‐driven workflows, advanced prompt engineering, RAG (Retrieval‐Augmented Generation) architectures, and orchestration frameworks (e.g., Lang Chain, Llama Index, Crew AI, Auto Gen).




Deep familiarity with AI‐powered development tools and practices, driving adoption of AI‐augmented software development lifecycles across teams.Experience with data governance frameworks, compliance standards (GDPR, CCPA), and enterprise security practices.Published technical articles, conference presentations, or contributions to open‐source projects in data engineering or related fields.Preferred Qualifications Strategic Thinking: Exceptional ability to balance tactical execution with long‐term strategic vision, making architectural decisions that serve both immediate and future needs.Technical Excellence: Deep technical expertise with a commitment to engineering excellence, code quality, and best practices.Leadership & Influence: Proven ability to lead through influence, driving technical consensus across diverse stakeholders and organizational boundaries.Ownership & Accountability: Strong executive presence with exceptional accountability for platform reliability, team performance, and business outcomes.Collaboration & Communication: Outstanding interpersonal and communication skills, with ability to translate complex technical concepts for executive audiences and mentor engineers at all levels.Innovation & Vision: Track record of identifying emerging technologies and driving their adoption to create competitive advantage.Adaptability & Execution: Ability to operate effectively in ambiguous, fast‐paced environments while maintaining high standards and delivering results.Business Acumen: Strong understanding of business drivers, with ability to align technical investments with business value and ROI.Key Attributes Strategic Thinking: Exceptional ability to balance tactical execution with long‐term strategic vision, making architectural decisions that serve both immediate and future needs.Technical Excellence: Deep technical expertise with a commitment to engineering excellence, code quality, and best practices.Leadership & Influence: Proven ability to lead through influence, driving technical consensus across diverse stakeholders and organizational boundaries.Ownership & Accountability: Strong executive presence with exceptional accountability for platform reliability, team performance, and business outcomes.Collaboration & Communication: Outstanding interpersonal and communication skills, with ability to translate complex technical concepts for executive audiences and mentor engineers at all levels.Innovation & Vision: Track record of identifying emerging technologies and driving their adoption to create competitive advantage.Adaptability & Execution: Ability to operate effectively in ambiguous, fast‐paced environments while maintaining high standards and delivering results.Business Acumen: Strong understanding of business drivers, with ability to align technical investments with business value and ROI.Location On‐site –Jalisco, MEXEqual Opportunity Statement I want to work for JLL.Privacy Notice Jones Lang La Salle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services.We take our responsibility to protect the personal information provided to us seriously.Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process.We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons.We will then delete it safely and securely.For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.For additional details please see our career site pages for each country.Additional Contact Information Quiero trabajar para JLL.Brand Information We help our people thrive, grow meaningful careers and find a place where they belong.Together, we strive to be exceptional and shape a better world.For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties.A Fortune 500® company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise.Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM.Trademark Statement JLL is the brand name, and a registered trademark, of Jones Lang La Salle Incorporated.For further information, visit .
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📌 Staff Software Engineer (Data) (Jalisco)
🏢 Jones Lang LaSalle
📍 Jalisco