Analysis Skills, Architectural Services, Artificial Intelligence (AI), Automation, Computer Science, Data Analysis, Data Management, Data Modeling, Data Quality, DataArchitect Data Modeling Tool, Distributed Computing, Ecosystems, Enterprise Architecture, Information Technology & Information Systems, Microsoft Windows Azure, Multiplatform/Cross-Platform, Operational Audit, Quality Metrics, Quality Monitoring, Reconciliation, SQL (Structured Query Language)
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:
- Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
Travel:
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Park Place Technologies LLC