Remote AI-First Data Architect for AI/BI

*US AMR-Jones Lang LaSalle Americas, Inc.

United States

Remote

USD 196,000 - 235,000

Full time

8 days ago
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Benefits offered by this job

401(k) plan with matching
Medical, Dental & Vision care
Paid parental leave
Paid Time Off
Daily Pay

Job summary

Jones Lang LaSalle (JLL) is seeking a hands‑on Principal Data Architect to transform data consumption and enable AI‑driven use cases. You will set strategy for semantic/context layers, work with product/platform teams, and lead architecture for enterprise data platforms using Databricks on Azure or AWS.

Mentoring senior engineers and guiding governance are key components of this role. The position emphasizes building semantic models, ontologies, and scalable data solutions that support

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
  • 12+ years of enterprise data architecture or technology leadership experience.
  • Designing and implementing enterprise AI/BI solutions in production environments.
  • Expertise in semantic layers, ontologies, and data consumption patterns.

Responsibilities

  • Establish the strategic direction for AI/BI, including semantic and context layers.
  • Partner with product/platform teams to drive adoption of data platform patterns.
  • Design ontologies, knowledge graphs, and semantic models for AI-driven consumption.
  • Lead cloud-native data architecture initiatives using Databricks on Azure or AWS.
  • Build and deploy AI-first data consumption solutions with SQL/text-to-SQL agents.

Skills

Data architecture
Enterprise ontology
AI/BI strategy
Databricks
Azure/AWS
Text-to-SQL
RAG agents
Cloud-native data platforms
Leadership & mentoring

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Databricks Genie
Spark

Job description

Jones Lang LaSalle (JLL) is seeking a hands‑on Principal Data Architect to transform data consumption and enable AI‑driven use cases. You will set strategy for semantic/context layers, work with product/platform teams, and lead architecture for enterprise data platforms using Databricks on Azure or AWS.

Mentoring senior engineers and guiding governance are key components of this role. The position emphasizes building semantic models, ontologies, and scalable data solutions that support

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