JLL supports the Whole You, personally and professionally.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.
Senior Manager, Data Engineering – JLLT
What this job involves:
We are seeking an experienced Senior Manager, Data Engineering, to lead the Enterprise Platform Data Engineering team at JLL Technologies. In this role, you will drive people leadership, delivery excellence, and technical direction for data platforms and pipelines that power JLL's enterprise data strategy, data quality initiatives, and foundational data capabilities across the organization. You will set strategic priorities with Enterprise Platform and technology leadership, build and mentor a high-performing engineering team, and ensure reliable, governed data assets that scale with the business. This is an opportunity to shape how data engineering enables data governance, master data management, and enterprise-wide data discoverability—directly contributing to JLL's mission to reimagine real estate through technological innovation.
What your day-to-day will look like:
Lead and mentor a team of data engineers, providing technical guidance, performance management, and career development while fostering a culture of excellence and continuous improvement
Define and execute the Enterprise Platform Data Engineering roadmap, aligning team priorities with JLL's enterprise data strategy and translating business challenges into measurable technical outcomes
Architect and oversee enterprise-scale data platforms and pipelines that consolidate siloed data sources into unified, governed, and scalable foundations for analytics, AI/ML, and real-time decision-making
Partner with cross-functional stakeholders—including Product, Business, Data Science, and Executive Leadership—to deliver trusted data capabilities that enable advanced analytics, semantic layers, and intelligent data discovery
Establish and drive DataOps best practices, including CI/CD pipelines, data quality frameworks, observability, lineage tracking, and compliance controls to ensure production-ready, auditable data products
Guide technical architecture reviews, technology evaluations, and proof-of-concept initiatives to drive adoption of modern data engineering practices and emerging technologies across the organization
Serve as the data engineering voice in executive forums, communicating roadmaps, trade-offs, and strategic direction with clarity to diverse technical and non-technical audiences
Required Qualifications:
3+ years of direct people management experience leading data engineers or equivalent technical teams, including staffing, performance management, and delivery accountability
10+ years of experience in data engineering and Big Data development, with proven expertise architecting and delivering enterprise-scale, fault-tolerant data platforms
5+ years of hands-on experience with cloud platforms (Azure or AWS), including advanced services such as Databricks, Azure Data Factory, Synapse, AWS Glue, EMR, or Redshift
Expert-level proficiency in multiple server-side programming languages (Python, Java, Scala) with deep expertise in PySpark/Spark for distributed data processing at scale
Proven expertise in data modeling, data architecture, and designing scalable data systems that balance performance, maintainability, and cost
Deep understanding of machine learning lifecycle, MLOps practices, model governance, and production ML systems
Extensive experience with diverse data technologies including SQL databases (Azure SQL, PostgreSQL), NoSQL databases (Cosmos DB, MongoDB, Cassandra), and AI-centric databases such as vector databases (Pinecone, Weaviate) and graph databases (Neo4j, Amazon Neptune)
Preferred Qualifications:
Master's degree in Computer Science, Engineering, Data Science, or a related field
Deep expertise 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
Expert-level understanding of DevOps principles with hands-on experience in CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and container orchestration (Kubernetes, EKS, AKS)
Significant experience with LLM-driven workflows, RAG (Retrieval-Augmented Generation) architectures, and orchestration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)
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 below. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.
About JLL –
We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.
Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
