[Hiring] Principal Data Architect @JLL

Role 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
• Define new patterns for consuming data from the enterprise data platform (EDP)

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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