Principal Data Architect

Jones Lang LaSalle Americas, Inc.

. Establish the strategic direction for JLL's AI/BI ecosystem and define semantic and context layer capabilities .

Posted 9/23/2026full-timeRemote • Illinois • United StatesLead💰 $250,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise data architecture and AI/BI solutions, with a strong focus on cloud-native platforms like Databricks. Proven ability to lead technical strategy, mentor teams, and establish standards for data consumption and architecture.

Highest-signal resume keywords

Enterprise Data ArchitectureAI/BI Solutions ImplementationDatabricks Technology StackCloud-Native Data PlatformsData Quality Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Architecture PatternsSemantic Layer DesignDistributed ComputingApache SparkETL/ELT FrameworksData Query AgentsMCPText-to-SQL AgentsKnowledge GraphsAnalytical Data Models

Soft Skills

Influencing StakeholdersWritten CommunicationVerbal CommunicationMentoringBalancing Innovation and Risk

Tools & Technologies

DatabricksAzureAWSDBTPower BITableau

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Engineering

Industry Keywords

AI-Driven Data ConsumptionEnterprise OntologiesData ContractsData Authorization PatternsCloud AI Platforms

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLSparkSQLTableau

About the role

Key responsibilities & impact

Establish the strategic direction for JLL's AI/BI ecosystem and define semantic and context layer capabilities
Evangelize consistent data consumption methodologies and drive business line adoption
Partner with business units, product leaders, product teams, platform teams, and engineering teams
Design and establish ontologies, knowledge graphs, semantic models, analytical data models, and dimensional designs
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 agents using Databricks Genie or JLL-built SQL query agents
Drive architecture for agentic AI and intelligent data consumption use cases with evaluation frameworks for consistency and reliability
Design and build agentic solutions integrating unstructured data through RAG agents and structured data through SQL query agents
Mentor technical leads and senior engineers
Lead architecture reviews, technical strategy discussions, and data-platform investment decisions
Champion AI-Harness adoption for AI-powered development lifecycle capabilities
Establish enterprise-wide standards, reusable patterns, technical guardrails, and measurable success metrics

Requirements

What you’ll need

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
This position does not provide visa sponsorship; candidates must be authorized to work in the United States without sponsorship
Preferred: experience in large enterprise, platform-oriented environments; migrating BI platforms from Power BI and Tableau to Databricks; building Text-to-SQL agents; cloud AI platforms and services; AI-powered development tools; mentoring architects and engineers

Benefits

Comp & perks

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
Supportive culture and comprehensive benefits package prioritizing mental, physical and emotional health