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Data Architect
Job Description
Role Overview
We are seeking a senior-level, hands-on Data Architect to support a critical data platform stabilization initiative within a complex enterprise environment for our client. This contract role requires a strong technical leader who can quickly assess existing systems, identify issues, and implement scalable, high-quality data solutions with minimal ramp-up time.
The ideal candidate combines architectural expertise with deep hands-on engineering capability, particularly across Azure-based data platforms and distributed systems. This individual will play a key role in improving data reliability, governance, and observability while working closely with engineering teams.
This position is hybrid, with 3 days/week in-office in Cleveland, OH.
NOTE: Candidates not local to Cleveland, OH will not be considered.
This role is for a 6-month contract (potential to extend).
Key Responsibilities
Required Skills
Experience Requirements
What We’re Looking For
We are seeking a senior-level, hands-on Data Architect to support a critical data platform stabilization initiative within a complex enterprise environment for our client. This contract role requires a strong technical leader who can quickly assess existing systems, identify issues, and implement scalable, high-quality data solutions with minimal ramp-up time.
The ideal candidate combines architectural expertise with deep hands-on engineering capability, particularly across Azure-based data platforms and distributed systems. This individual will play a key role in improving data reliability, governance, and observability while working closely with engineering teams.
This position is hybrid, with 3 days/week in-office in Cleveland, OH.
NOTE: Candidates not local to Cleveland, OH will not be considered.
This role is for a 6-month contract (potential to extend).
Key Responsibilities
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Design and implement enterprise data architecture and canonical data models
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Analyze, troubleshoot, and stabilize data pipelines and cross-platform data flows
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Perform hands-on SQL analysis and data reconciliation across multiple systems
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Define and enforce data governance, ownership, and quality standards
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Build and enhance data validation, monitoring, and observability frameworks
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Improve data lineage tracking and overall governance processes
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Leverage AI-driven analytics and automation tools to detect anomalies and accelerate insights
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Collaborate closely with engineering and platform teams to align data architecture with system integrations
Required Skills
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Strong expertise in enterprise data architecture and data modeling
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Advanced proficiency in SQL and data analysis
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Hands-on experience with Azure data platform services, including:
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Azure Data Factory
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Azure SQL / Synapse
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Experience with event-driven and distributed data systems
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Deep understanding of data governance and data quality frameworks
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Familiarity with AI-assisted analytics or automation tools
Experience Requirements
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8–10+ years of experience in data architecture or data engineering
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Proven track record designing and stabilizing enterprise-scale data platforms
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Demonstrated ability to analyze production data and resolve data integrity issues
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Experience working within cloud-based data environments, preferably Azure
What We’re Looking For
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Senior or lead-level talent capable of delivering immediate impact
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Strong problem-solving skills with the ability to work in fast-paced, high-visibility environments
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A hands-on architect who can both design and execute solutions
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