This role pays more than
65%
of similar roles. Most pay
$173,200–$230,625
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About JLL (Jones Lang LaSalle)
JLL (Jones Lang LaSalle) is a global professional services firm specializing in real estate and investment management, providing services to buyers, sellers, tenants, landlords, investors, and developers. Industry: Commercial Real Estate Services
JLL (Jones Lang LaSalle) currently has
76 open roles
on FindRole.
Listed pay typically runs
$139,260–$170,000
across 38 roles with salary data.
As a Principal Data Architect, you will join the team to transform data consumption patterns by establishing the strategic vision for AI/BI and building semantic and context layers. You will serve as a senior technical leader responsible for defining how the organization transitions from traditional analytics to AI-driven usage. Your daily work involves designing ontologies, knowledge graphs, and analytical models while partnering with product and engineering teams to build capabilities like Text-to-SQL agents and RAG systems. You will utilize the Databricks technology stack on Azure or AWS, leveraging tools such as Apache Spark, DBT, and various ETL/ELT frameworks. The role focuses on solving the challenge of making enterprise data accessible through consistent semantic modeling, ensuring reliable automated discovery, and establishing robust architectural standards for high-scale, intelligent data consumption across the entire organization.
Azure
Databricks
SQL
Python
Spark
Microsoft Fabric
Azure Synapse
Power BI
ETL
ELT
Data Warehousing
Data Modeling
AWS
Redshift
Workday Adaptive
Anaplan
SAP BPC
REST
SOAP
Data Engineering
SAP Business Data Cloud
Datasphere
Databricks
Python
SQL
SAP ABAP
HANA
PySpark
Delta Lake
Unity Catalog
SAP BTP
SAP Analytics Cloud
CI/CD
Machine Learning
AI
Data Modeling