Azure Data Architect

NAM Info Inc; United States; On-site; USD 72,000 - 149,000; Full time

Job summary

NAM Info Inc is seeking an experienced Azure Architect to design and implement scalable, secure, and high-performance data solutions using the latest Azure technologies. The role requires deep expertise in Azure services like PySpark and Microsoft Fabric, hands-on experience with data pipelines, and leadership in cloud architecture design.

Qualifications

• Deep expertise in Azure services including end-to-end data solutions.
• Experience building data pipelines and optimizing data lakes.
• Proficiency in Python and PowerShell scripting.

Responsibilities

• Architect and implement end-to-end data pipelines on Azure.
• Design scalable data integration workflows with ADF and PySpark.
• Lead cloud architecture design sessions and document solutions.

Skills

PySpark

Microsoft Fabric

Open Lakehouse

Data Governance

CI/CD

Power BI

SQL

Tools

Azure Data Factory

Databricks

Azure Data Lake

Azure Synapse Analytics

Job description

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We are looking for an experienced Azure Architect to design and implement scalable, secure, and high-performance data solutions using the latest Azure technologies. This role demands hands-on experience with end-to-end Azure services, including Azure Data Factory (ADF), PySpark, Microsoft Fabric, Azure Data Lake, and Open Lakehouse architectures. You will work closely with cross-functional teams to architect modern data platforms that support advanced analytics, machine learning, and real-time data processing.

Required Skills & Experience:

Deep expertise in:

• PySpark for big data transformations and analytics
• Microsoft Fabric
• Open Lakehouse architecture (e.g., Delta Lake, Apache Hudi, or Iceberg on Azure)

Experience in building and optimizing large-scale data pipelines and data lakes.

Familiarity with Databricks, Azure Synapse Analytics, Power BI, and SQL.

Strong understanding of data governance, security, and compliance frameworks.

Proficiency in scripting languages (e.g., Python, PowerShell) and CI/CD for data projects.

Responsibilities:

• Architect and implement end-to-end data pipelines and analytics solutions on Azure.
• Design scalable and efficient data integration workflows using ADF, PySpark, and other data engineering tools.
• Develop and operationalize data lakes and Open Lakehouse architecture for large-scale data management.
• Utilize Microsoft Fabric for unified data engineering and business intelligence experiences.
• Lead cloud architecture design sessions and document solutions aligned with best practices.
• Implement governance, security, and performance optimization for Azure data environments.
• Collaborate with data engineers, BI developers, and business stakeholders to meet analytics needs.
• Evaluate and introduce new Azure services that improve solution capabilities and performance.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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