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We are looking for an experienced Data Architect to join our team on a long-term contract basis in Cleveland, Ohio. This role involves designing scalable enterprise data platforms, ensuring data quality, and implementing robust data governance frameworks. You will play a pivotal role in leveraging Azure services and AI-driven analytics to optimize data architecture and enhance operational insights.
Job Responsibility:
Develop and implement enterprise-wide data architectures and canonical data models
Establish data ownership protocols, governance standards, and quality benchmarks
Analyze and stabilize data pipelines across distributed systems and platforms
Perform detailed data analysis and reconciliation to identify and resolve integrity issues
Design and implement monitoring tools to validate and improve data quality
Enhance data observability and lineage tracking to streamline governance processes
Utilize AI-driven analytics and automation to detect anomalies and accelerate decision-making
Collaborate with engineering teams to align data architecture with integration services and platform requirements
Optimize event-driven and distributed data systems for scalability and reliability
Conduct hands-on work with Azure services, such as Azure Data Factory and Synapse, to implement solutions
Requirements:
Extensive experience in enterprise data architecture and modeling
Proficiency in Azure data platform services including Azure Data Factory and Synapse
Strong expertise in data analysis tools and SQL
Knowledge of data governance frameworks and quality assurance processes
Familiarity with event-driven and distributed data systems
Experience with AI-assisted analytics and automation tools
A minimum of 8–10 years in data architecture or engineering roles
Proven ability to analyze production data and resolve complex data integrity challenges
What we offer:
medical, vision, dental, and life and disability insurance