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Insight Global
Senior Azure Data Architect
Career Insights for Data Architect
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Based on Ohio data
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What they do
A Data Architect develops computer databases for a company or organization. Designs, builds and implements databases and database systems that meet business requirements. Supports database administration, develops database security policies and works to prevent cyber attacks.
$145,220 / year median in Ohio
-1% projected decline
Job Description
Job Description One of our key healthcare companies is looking for a Senior Solutions Consultant that will be responsible for the following:
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- Design and review end-to-end data architectures utilizing Azure cloud technologies.
- Develop scalable, secure, and high-performing data solutions that align with organizational goals.
- Evaluate current-state data environments and recommend future-state architecture strategies.
- Design and optimize enterprise data platforms using: Microsoft Fabric Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Azure Synapse Analytics Databricks
- Create logical and physical data models to support reporting, analytics, and operational workloads.
- Establish architecture standards, best practices, and design patterns for cloud-based data platforms.
- Collaborate with data engineers, BI developers, analytics teams, and business stakeholders to guide implementation efforts.
- Assess opportunities to improve data quality, governance, performance, scalability, and cost optimization.
- Support cloud modernization and enterprise data transformation initiatives.
- Ensure security, compliance, and governance requirements are incorporated into all architectural designs.
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Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements- 6-7 years of experience in data architecture, data engineering, or related cloud data roles.
- Strong expertise designing solutions within the Azure data ecosystem.
- Hands-on experience with: Microsoft Fabric Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Azure Synapse Analytics Databricks
- Experience designing and supporting enterprise-scale data lakes, data warehouses, and analytical platforms.
- Strong understanding of: Data modeling ETL/ELT development Data integration architectures Cloud architecture principles Data governance best practices
- Proven ability to evaluate, recommend, and document architecture solutions and technology strategies.
- Experience balancing scalability, security, maintainability, and cost optimization in architecture decisions.
- Strong communication skills with the ability to present technical recommendations to both technical and non-technical audiences.
- Healthcare industry experience Experience working with healthcare, clinical, patient, or provider data.