Sr. Director, Data Engineering

About JLL JLL (Jones Lang LaSalle Incorporated) is a leading global commercial real estate services and investment management company. Founded in 1783, JLL operates in more than 80 countries with 113,000+ professionals and $23.4 billion in annual revenue. Ranked Fortune 500 #175. In a market where timing separates leaders from followers, you need a partner who helps you move with precision. That's what JLL delivers—with clarity powered by unmatched data, confidence from a firm built to last and certainty backed by execution that performs across the real estate lifecycle. What services does JLL provide? Property Management, Leasing Advisory, Capital Markets, Workplace Strategy, Project and Development Services, Design, Sustainability Solutions, and Real Estate Technology What makes JLL unique? • Intelligence that illuminates the path forward: Our research teams publish 2,000+ reports annually across 60+ markets. JLL Falcon – our proprietary AI platform for commercial real estate – combines decades of expertise, the industry's richest data and generative AI to surface patterns before they become consensus, putting you ahead of the curve. • Relationships built to last: With 240+ years of history, we're chosen by 95% of top global investors and half of the Fortune 500, with a 99% retention rate. You get a partner who's navigated every market cycle and knows what's coming next. • Execution at scale: With 113,000+ professionals across 80+ countries, we deliver coordinated solutions with consistent quality wherever you operate. You get one partner who sees the complete picture and executes globally. Recognition • Fortune's World's Most Admired Companies — 10 years • World's Most Ethical Companies (Ethisphere) — 18 years • EPA Energy Star Sustained Excellence Award — 14 years Headquartered in Chicago, Illinois | NYSE: JLL JLL combines data intelligence with commercial real estate expertise so you can See a Brighter Way.

JLL

Powered by data and commercial real estate experts, JLL illuminates a clear path, so you can execute with certainty.

tenant representationreal estatepropertyfinancial servicesinvestmentcorporate solutionscapital marketsoutsourcingcommercial propertyand sustainability

J

co.jll/4ozAe4W

10,001+ employees

Real Estate

Chicago, Illinois

Public Company

2.4M LinkedIn followers

Raised $1.6B

• Strategic architecture and vision: Define and drive the REMS data platform strategy, consolidating fragmented data sources and legacy pipelines into a unified, governed, and scalable architecture that serves as the foundation for analytics, AI, and operational decision-making across real estate management.
• Technical leadership: Provide hands-on technical leadership across the REMS Data Engineering team and related initiatives — setting architectural standards, design patterns, and engineering best practices that raise the quality bar across the organization and ensure alignment with enterprise platform standards.
• Data platform delivery: Oversee the design, delivery, and continuous improvement of REMS data pipelines, APIs, and backend data services that ingest, transform, and serve property, lease, facilities, and operational data to downstream products, analytics, and AI systems.
• Data modeling and architecture: Own data modeling standards across REMS — including relational, dimensional, and NoSQL schemas — ensuring data structures are designed for performance, maintainability, and reliable consumption by business intelligence, data science, and application teams.
• Data governance and quality: Establish DataOps practices, data quality frameworks, lineage tracking, and compliance controls that ensure REMS data products are production-ready, auditable, and trusted — with clear ownership models and monitoring across all data assets.
• Enterprise integration and API strategy: Architect integration patterns and API strategies that enable seamless data access across REMS applications, analytics platforms, and enterprise systems — including event-driven patterns and consumption standards for both internal and external data consumers.
• Cross-functional leadership: Partner with REMS Product, Application Engineering, Enterprise Data, and business stakeholders to align data platform capabilities with product strategy and operational priorities — translating complex data challenges into actionable roadmaps with measurable outcomes.
• Team development and mentorship: Hire, develop, and retain data engineers and team leads across all levels; conduct architecture and delivery reviews, provide technical guidance, and build a team culture defined by ownership, curiosity, and continuous improvement.
• Stakeholder management: Serve as the data engineering voice in product reviews, architecture forums, and executive presentations — communicating roadmap, trade-offs, and technical direction with clarity and confidence to both technical and business audiences.

Required

• You are a people leader who still speaks fluent data engineering — pipelines, platforms, data models, and the unglamorous work of making real estate management data trustworthy at scale. You are genuinely curious about the "why" and the "what" behind every data problem, not just the "how," and you bring that curiosity into discovery conversations with REMS product and operations stakeholders before ever reaching for a technical solution. You are as comfortable in an architecture review with senior engineers as you are in a roadmap discussion with product executives, and you build trust in both rooms by listening well and delivering reliably. You create clarity for your team when priorities compete, and you develop managers and engineers who grow in scope, confidence, and impact.
• People management: 5+ years of people management experience, including at least 1–2 years managing managers or team leads — not just ICs — with accountability for performance, staffing, delivery outcomes, and team development across multiple scrum teams.
• 10+ years of data engineering experience across multiple large, complex projects and technology domains.
• Expert proficiency in Python and SQL; strong distributed data processing experience with PySpark/Spark; demonstrated ability to architect complex end-to-end data solutions.
• 5+ years hands-on with cloud platforms (Azure or AWS), including advanced data services such as Databricks, Azure Data Factory, Synapse, AWS Glue, or Redshift.
• Proven data modeling expertise across relational, dimensional, and NoSQL schemas (CosmosDB, MongoDB, PostgreSQL); experience designing data structures that balance performance, scalability, and analytical consumption.
• Demonstrated experience establishing data governance frameworks in a production enterprise environment — data quality standards, lineage tracking, ownership models, and compliance controls.
• Experience orchestrating multiple data engineering project teams simultaneously; track record of shaping organizational data strategy and aligning engineering priorities with business outcomes.
• Exceptional communication and stakeholder management skills — able to earn trust quickly, drive alignment across product and engineering, and present technical trade-offs clearly to executive audiences.

Preferred

• Experience leading data engineering for a real estate, facilities, lease management, or asset-intensive operational domain.
• Familiarity with REMS or related property management platforms (e.g., MRI, Yardi, IBM Maximo, ServiceNow FM).
• Hands-on experience with agentic AI, RAG architectures, vector databases, or MCP integrations for building AI-ready data foundations.
• Experience with data orchestration tools such as Airflow, Prefect, or dbt for managing complex pipeline dependencies and transformations.
• Strong DevOps and DataOps practices — CI/CD pipeline design, containerization (Docker, Kubernetes), infrastructure-as-code (Terraform or CloudFormation), and observability tooling.
• Experience with data governance compliance standards (GDPR, CCPA, data residency requirements) and enterprise security practices for sensitive data.
• Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Key attributes
• Leadership: Builds and retains strong teams through leads and managers; delegates effectively while staying close to critical technical risks and maintaining the engineering credibility that earns team respect.
• Stakeholder Partnership: Navigates REMS product and enterprise priorities with poise; negotiates scope and timelines with data-driven rationale and a consistent bias toward shared outcomes.
• Judgment: Makes sound trade-offs among quality, speed, cost, and risk — especially in domains where data accuracy has direct operational, financial, or contractual consequences.
• Communication: Explains technical architecture and platform trade-offs clearly to executives and product partners; listens actively for the business constraints that should shape engineering decisions.
• Ownership: Accountable for team outcomes, platform health, and the continuous improvement of engineering practices — not just delivery milestones.

• As Director of Data Engineering for REMS, your "customers" include REMS Product leadership, application and platform engineering teams, facilities and property operations practitioners who depend on accurate and timely data, and enterprise data consumers across JLL. Your mission is to lead the REMS Data Engineering function — defining the roadmap, operating model, team structure, and engineering standards that turn complex real estate management data into trusted, scalable platform capabilities.
• This is an opportunity to shape how data engineering enables the next generation of REMS products — from intelligent property workflows and lease analytics to data-driven operational automation — while building the engineering culture, governance practices, and technical foundations that make that platform sustainable and trusted across JLL.
• Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
• 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 include
• 401(k) plan with matching company contributions
• Paid parental leave at 100% of salary
• 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.
• Jones Lang LaSalle (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 additional details please see our career site pages for each country.
• For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.
• Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.
• Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.
• Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.
• California Residents only
• Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
• Accepting applications on an ongoing basis until candidate identified.