Staff Software Engineer (Data)

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.

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. 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.

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.

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 PySpark/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, PostgreSQL), NoSQL databases (e.g., Cosmos DB, MongoDB, 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 DevOps principles, with hands-on experience designing CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), 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., LangChain, LlamaIndex, CrewAI, AutoGen).

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.

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

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Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process –  you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Jones Lang LaSalle ("JLL") está comprometida a trabajar con personas con discapacidades y proporcionarles accesibilidad. Si necesita un ajuste razonable para cualquier parte del proceso de empleo – incluyendo la candidatura en línea y/o el proceso general de selección – puede enviarnos un correo electrónico a HRSCLeaves@jll.com. Este correo electrónico es solo para solicitar un ajuste razonable. Por favor, dirija cualquier otra consulta general de reclutamiento a nuestra página Contáctanos > Quiero trabajar para JLL.