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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.
Job Profile: Director Data Engineering, Platform
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 technology 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 About the role The Director of Data Engineering, Platform is a key technical leadership role responsible for building, leading, and mentoring the team that designs, builds, and operates JLL's core enterprise data platform. This leader will own the technical strategy and execution for our foundational data infrastructure, including data ingestion, streaming pipelines, data lake/warehouse, and data processing frameworks.
This position is critical to JLL's Data and AI strategy, providing the scalable, reliable, and secure data backbone required to power advanced analytics, AI/ML innovation, and data-driven products across the enterprise. The Director will ensure the platform is built for self-service, enabling capabilities for the Business, Data Science, Analytics, and Application Engineering teams to leverage data with speed and confidence.
This role requires a proven engineering leader with deep technical expertise in modern data architecture, a passion for building high-performing teams, and the ability to partner effectively with stakeholders across the organization to deliver enterprise-scale data solutions.
Key responsibilities 1. Team Leadership & Platform Development - Build, lead, mentor, and inspire a high-performing, globally distributed data platform team.
- Define and execute the technical strategy and roadmap for the enterprise data platform, overseeing the end-to-end development lifecycle from architecture to deployment and operations.
- Manage hiring, performance, career development, and resource allocation to ensure the team delivers its commitments with excellence.
- Champion agile methodologies, a DevOps mindset, and a culture of operational excellence, defining and monitoring SLOs for all platform services.
2. Data Governance, Quality & MDM Enablement - Partner with the central Data Governance team to implement technical solutions that enforce data policies, standards, and compliance requirements across the platform.
- Build platform capabilities for data lineage, metadata management, and data quality monitoring to empower data stewards and ensure data is trusted and well-understood.
- Architect and implement robust data security controls, including role-based access (RBAC), encryption, and data masking frameworks to protect sensitive information.
3. Analytics & Insight Enablement - Develop the scalable, foundational data services and self-service tools that empower Data Science and Analytics teams to work efficiently.
- Build a performant and reliable platform capable of supporting the entire analytics lifecycle, from historical reporting to predictive modeling and automated decisioning.
- Engineer performant and reliable data pipelines that provide clean, structured, and well-documented datasets for consumption by downstream analytics and product teams.
4.Cross-Functional Collaboration - Partner closely with key stakeholders in Data Science, Analytics, Product Management, and Application Engineering to understand their needs and ensure the data platform meets their requirements.
- Collaborate with Product and Application teams to provide the data APIs and services needed to embed data insights into digital platform experiences.
- Act as a key technical advisor and evangelist for the data platform, driving adoption and ensuring its capabilities are well understood across the organization.
- Ensure alignment of platform investments and roadmaps with enterprise priorities through transparent communication and stakeholder management.
Qualifications and skills Required qualifications - Bachelor's degree in computer science, Engineering, or a related technical field.
- 10+ years of hands-on experience in data engineering, software engineering, or related fields.
- 5+ years of formal experience in a people management role, leading and mentoring engineering teams.
- Proven experience designing, building, and operating large-scale, cloud-native data platforms (AWS, Google Cloud Platform, or Azure).
- Expert-level knowledge of modern data architecture patterns and big data technologies (e.g., Spark, Kafka, Flink, Airflow).
- Deep experience with modern unified data platforms like Databricks, and cloud data warehouses (e.g., Snowflake, Big Query, Redshift), with a strong understanding of Lakehouse architecture.
- Strong programming skills in at least one language, such as Python, Scala, or Java.
Preferred qualifications - Master's Degree or other advanced degree in a relevant technical field.
- Experience leading geographically distributed or global engineering teams.
- Experience with containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform).
- Knowledge of the real estate technology (Prop Tech) domain or enterprise B2B software environments.
Key attributes - People Leadership: A dedicated and empathetic leader with a proven ability to build, motivate, and develop high-performing engineering teams.
- Technical Vision: The ability to define a long-term technical strategy and inspire a team to execute it.
- Architectural Expertise: Deep, hands-on knowledge of modern, distributed data systems and cloud infrastructure.
- Execution Focus: A strong bias for action and the ability to drive projects to completion in a fast-paced, agile environment.
- Stakeholder Management: Excellent communication and interpersonal skills, with the ability to build strong relationships and influence stakeholders at all levels.
- Problem Solving: Strong analytical and critical thinking skills with the ability to navigate ambiguity and solve complex technical challenges.
- Business Acumen: The ability to understand business needs and translate them into technical requirements and platform capabilities.
This position does not provide be authorized to work in the United States without sponsorship.
Estimated compensation for this position:200,000.00 - 300,000.00 USD per year
This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:Remote -Chicago, IL, Dallas, TX, New York, NY, San Francisco, CA
If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. 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. Some of these benefits may include:
- 401(k) plan with matching company contributions
- Comprehensive Medical, Dental & Vision Care
- Paid parental leave at 100% of salary
- Paid Time Off and Company Holidays
- Early access to earned wages through Daily Pay
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 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.
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