Data Architect

The Data Architect is responsible leading the design, implementation, and evolution of our enterprise data architecture.  This role plays a strategic role in ensuring the Park Place data ecosystem supports current and future business objectives, enabling advanced analytics, operational efficiency, and scalability.

What you’ll be doing:

• Design and implement enterprise data architecture and canonical data models
• Define data ownership, governance rules, and data quality standards
• Analyze and stabilize data pipelines and cross‑platform data propagation
• Perform hands‑on SQL analysis and data reconciliation across enterprise systems
• Implement data validation, monitoring, and data quality frameworks
• Improve data observability, lineage tracking, and governance processes
• Leverage AI‑driven analytics and automation to identify anomalies and accelerate analysis
• Partner with engineering teams to align data architecture with platform and integration services

What we’re looking for:

• Enterprise data architecture and data modeling
• Advanced SQL and data analysis
• Azure data platform services
• Azure Data Factory
• Azure SQL / Synapse
• Event‑driven and distributed data systems
• Data governance and data quality frameworks
• Experience with AI‑assisted analytics or automation tools

Hands‑On Expectation

• Direct analysis of production data using SQL and analytics tools
• Design and implementation of canonical data models
• Diagnosis and resolution of data integrity issues
• Close collaboration with engineers to implement architectural improvements

Education:

·       Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Travel:

• <10%