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# Azure Data Architect

- **Company:** HCL America Inc.
- **Location:** Chicago, IL, United States
- **Salary:** $213,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Digital Assets, Cloud Services, Azure Data Factory, Deployment Automation, Data Management, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a20358970b24055b

## About the Role

1. Architectural Leadership In Azure Data Factory (Adf), Azure Databricks, And Azure Synapse Analytics, With Expert Ability To Design And Govern Complex Data Solutions.
 2. Advanced Proficiency In Azure Devops For Ci/Cd Automation, InfrastructureAsCode, And Deployment Of Data Pipelines.
 3. Excellent Understanding Of Data Modeling, Etl/Elt Processes, Data Governance, And Security Within The Azure Ecosystem.
 4. Strong Expertise In Designing Scalable, HighPerformance Data Architectures For Analytics And Reporting.
 5. Solid Knowledge Of Industry Best Practices For Cloud Data Platforms, Including Compliance, Monitoring, And Optimization.

## Description

The Azure Data Solutions Architect leads the design and implementation of enterprise-scale data solutions using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. This role provides architectural leadership, ensuring solutions are robust, scalable, and aligned with business strategy and industry best practices. The architect drives innovation, enforces governance, and mentors teams to deliver high-quality, future-ready data platforms that support organizational transformation., 1. Provide Architectural Leadership By Designing End-To-End Data Integration And Analytics Solutions Using Azure Data Factory, Azure Databricks, And Azure Synapse Analytics, Ensuring Alignment With Business Objectives And Compliance With Architectural Standards.

 2. Define And Enforce Governance, Security, And Compliance Frameworks For Azure Data Solutions, Leveraging Azure Devops For Automated Deployment, Monitoring, And Quality Assurance.
 3. Collaborate With Business Stakeholders To Gather Requirements And Translate Them Into Scalable Azure Data Architectures, Optimizing Data Pipelines And Workflows For Performance And Reliability.
 4. Review And Validate Architecture And Design Deliverables, Ensuring Adherence To Best Practices In Azure Data Engineering And Continuous Improvement Of Solution Quality.
 5. Drive Knowledge Upgradation By Evaluating Emerging Azure Technologies, Establishing Standards, And Mentoring Teams On Advanced Data Engineering Practices And Platform Capabilities.
 6. Lead The Development And Implementation Of Reusable Data Assets, Frameworks, And Accelerators To Streamline Delivery And Ensure Consistency Across Projects.


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