Data Architect
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Insight Global
Newark, NJ (In Person)
Full-Time
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Job Description
Job Description
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- Lead the architecture and design of end to end data and analytics solutions using Microsoft Fabric, including OneLake, Lakehouse, Data Pipelines, Notebooks, and Power BI integration.
- Design and implement data ingestion, transformation, and orchestration frameworks for batch and real time use cases using Python, SQL, and Spark based processing.
- Define and enforce data architecture patterns, including medallion (Bronze/Silver/Gold) architectures, data modeling, and performance optimization strategies.
- Act as a technical advisor to business and delivery teams, translating business requirements into scalable technical solutions.
- Partner with data engineers, analytics developers, and platform teams to ensure best practices for security, governance, and compliance are embedded into all solutions.
- Support solutioning activities including technical discovery, architecture diagrams, estimates, and solution documentation.
- Guide CI/CD and automation strategies for data solutions using cloud native tooling and pipelines.
- Provide technical leadership during implementation, troubleshooting complex issues and driving continuous improvement.
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Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements- 7+ years of experience in data engineering or solution architecture roles
- Hands on experience with Microsoft Fabric in production environments, including Lakehouse, Data Pipelines, and Power BI integration
- Strong proficiency in Python scripting for data processing, automation, and analytics workflows
- Experience designing and implementing cloud based data platforms (Azure preferred)
- Solid understanding of data modeling, ETL/ELT patterns, and analytics architectures.
- Ability to communicate complex technical concepts clearly to both technical and non technical stakeholders.
- Experience with Databricks
- Familiarity with data governance, security, and compliance practices in enterprise environments.
- Experience supporting pre sales or solutioning efforts, including client presentations and architecture reviews.
- Background in Power BI semantic models and enterprise reporting strategies.
- Exposure to DevOps or CI/CD practices for data and analytics platforms.
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