Data Architect

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.

Responsibilities:

• 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. Technology Doesn't Change the World, People Do.®

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