Description

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:

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.

Park Place Technologies

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