Principal Data Architect at Jones Lang LaSalle (JLL) in Chicago, IL

Job description

• We are seeking a hands-on Principal Data Architect to transform JLL's data consumption patterns. This role will drive the strategic vision for AI/BI, establishing practices for building semantic and context layers. As a senior individual contributor operating at the highest level of technical leadership, you will define how the organization transforms traditional analytics and enables AI-driven consumption use cases. The ideal candidate brings proven expertise in semantic modeling and enterprise ontology, context layer architecture, and transforming how business stakeholders consume and interact with information.
• In this role, you will partner closely with product and platform teams to build capabilities, collaborate with engineering teams to develop solutions, and drive adoption of enterprise data platform consumption patterns across the organization.
• We are looking for someone with proven hands-on experience who can champion core analytics and business personas, establish robust semantic layers for business line data, drive AI-powered self-service consumption, develop capabilities for reliable Text-to-SQL agents, and define new patterns for consuming data from the enterprise data platform (EDP).

Responsibilities

• Strategic Vision: Establish the strategic direction for JLL's AI/BI ecosystem, defining how semantic and context layers will unlock new AI-driven data consumption capabilities.
• Data Consumption Standards and Patterns: Evangelize consistent methodologies that drive business line adoption of new consumption patterns
• Cross-Functional Collaboration: Partner with product, platform, and data engineering teams across JLL to guide initiatives and drive architectural adoption.
• Partner with business units, product leaders, and engineering teams to shape data layers for AI-first consumption and modernize analytics strategies across the organization.
• 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 both traditional analytics and AI-driven use cases.
• Lead cloud-native data architecture initiatives leveraging 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 rigorous evaluation frameworks to ensure consistency and reliability at scale.
• Design and build agentic solutions that integrate unstructured data through RAG agents and structured data through SQL query agents.
• Mentor technical leads and senior engineers, raising the technical bar 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 leverage AI-powered development lifecycle capabilities for building modern consumption patterns.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 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 LLM-based data applications, RAG, 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 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.
• Master's or Bachelor's degree in Computer Science, Engineering, Data Science, or related engineering field.
• Experience working in large enterprise, platform-oriented environments with complex stakeholder ecosystems.
• Proven track record migrating BI platforms from Power BI and Tableau to modern cloud-native solutions like 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.
• Track record of mentoring architects, engineers or leading architecture communities of practice.

Skills

Required

• Enterprise data architecture
• Data engineering
• AI/BI solution design and implementation
• LLM-based data applications
• RAG (Retrieval-Augmented Generation)
• Data query agents
• MCP (Model Context Protocol)
• Apache Spark
• DBT
• ETL/ELT frameworks
• Semantic layers
• Enterprise ontologies

Preferred

• Power BI
• Tableau
• Databricks Genie
• Vector search
• AI gateways
• Observability frameworks
• AI-powered development tools
• Mentoring architects and engineers

Benefits

• 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
• 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
• 196,000.00 – 235,000.00 USD per year
• Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.