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Jones Lang LaSalle

Advises on and manages commercial real estate

Principal Data Architect

Data Management +1Confirmed live in the last 24 hours
Full-timeChicago, IL, USA$196k - $235k /yr

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • At least 12 years of experience in enterprise data architecture, data engineering, or technology leadership roles.
  • Significant experience designing and implementing enterprise-grade AI/BI solutions in production environments.
  • Deep knowledge of modern data architecture patterns, including large language model-based data applications, retrieval-augmented generation, data query agents, and serving data through MCP.
  • Expertise in distributed computing environments, including Apache Spark, DBT, and ETL/ELT frameworks for large-scale data processing.
  • Proven experience building semantic layers and enterprise ontologies that enable AI-driven data consumption.
  • Strong understanding of data products, data contracts, data quality frameworks, and data authorization patterns.
  • Hands-on experience with cloud-native data platforms, specifically the Databricks technology stack.
  • Experience establishing architecture standards, reference architectures, and technical guardrails across multiple teams.
  • Proven ability to influence senior technical and business stakeholders without direct authority.
  • Strong written and verbal communication skills, with the ability to tailor messaging from engineering teams to executive leadership.
  • Demonstrated ability to balance innovation, speed, risk management, and long-term maintainability.
  • Candidates must be authorized to work in the United States without sponsorship.

Responsibilities

  • Establish the strategic direction for JLL's AI/BI ecosystem, defining how semantic and context layers will enable AI-driven data consumption capabilities.
  • Promote consistent methodologies that drive business-line adoption of new data consumption patterns.
  • Partner with product, platform, data engineering, business unit, and engineering teams to shape data layers for AI-first consumption, modernize analytics strategies, guide initiatives, and drive architectural adoption.
  • Design and establish ontologies, knowledge graphs, and semantic models that enable intelligent data discovery and consumption.
  • Architect analytical data models and dimensional designs that support traditional analytics and AI-driven use cases.
  • Lead cloud-native data architecture initiatives using the Databricks technology stack on Azure or AWS.
  • Build and deploy AI-first data consumption solutions through MCP and Text-to-SQL agent implementations using Databricks Genie or JLL-built SQL query agents.
  • Drive architecture for agentic AI capabilities and intelligent data consumption use cases, implementing evaluation frameworks to ensure consistency and reliability at scale.
  • Design and build agentic solutions that integrate unstructured data through retrieval-augmented-generation agents and structured data through SQL query agents.
  • Mentor technical leads and senior engineers, raising technical standards and fostering architectural excellence across the organization.
  • Lead architecture reviews, technical strategy discussions, and investment decisions related to the data platform.
  • Champion AI-Harness adoption, enabling engineering teams to use AI-powered development lifecycle capabilities to build modern consumption patterns.

Desired Qualifications

  • A master's or bachelor's degree in Computer Science, Engineering, Data Science, or a related engineering field.
  • Experience working in large enterprise, platform-oriented environments with complex stakeholder ecosystems.
  • A proven track record migrating business intelligence platforms from Power BI and Tableau to modern cloud-native solutions such as Databricks.
  • Experience building Text-to-SQL agents using Databricks Genie or similar agentic AI platforms.
  • Familiarity with cloud AI platforms and services, including vector search, AI gateways, and observability frameworks.
  • Experience helping engineering organizations adopt AI-powered development tools and data engineering practices.
  • A track record of mentoring architects and engineers or leading architecture communities of practice.

About the Company

Jones Lang LaSalle

Advises on and manages commercial real estate

Jones Lang LaSalle, known as JLL, advises property owners, occupiers and investors on commercial real estate worldwide. Its teams broker leases and property sales, arrange financing, value assets, manage buildings and workplaces, and oversee construction projects for businesses, institutions and governments. LaSalle Investment Management invests client capital in private property and real estate securities, while JLL Technologies develops workplace software and data tools. The company earns commissions, service fees, investment management fees and software revenue, with some client operating costs reimbursed through contracts. JLL took its current form through a 1999 merger and is headquartered in Chicago, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1999

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