Azure Data Architect - Remote With Travel

The Dignify Solutions, LLC; Allendale (NJ); Remote; USD 147,000 - 224,000; Full time

Job summary

A leading company seeks an Azure Data Architect with deep expertise in cloud-based solutions and data analytics. You will be responsible for designing scalable architectures using Azure tools and managing data integration efforts. The position requires significant experience in cloud environments and a strong proficiency in data engineering practices. This role offers opportunities for growth in a dynamic IT consulting environment.

Qualifications

• 15+ years in data analytics, 10+ years in senior architect roles.
• Experience with Azure solutions and data integration.
• Strong understanding of cloud platforms.

Responsibilities

• Design and implement secure, scalable cloud-based solutions.
• Lead data warehouse and lakehouse implementations.
• Oversee data integration from multiple sources.

Skills

Azure Databricks

Data Analytics

Data Engineering

Python

R

SQL

Data Orchestration

Education

Relevant Azure Certifications

Tools

Azure ADF

Power BI

Synapse

Job description

Azure Data Architect - Remote With Travel

Azure Data Architect - Remote With Travel

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• Overall 15+ years in data analytics consulting and at least 10+ Senior Architect role within a consulting firm with a focus on data analytics, advanced analytics, Cloud
• 5-7+ years in designing, solutioning the Azure Databricks, PySpark, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
• 7+ years' experience in designing Azure data warehouse and Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud.
• Cloud Architect with experience in Azure ADF, ADLS Gen2, Databricks, Synapse, PySpark
• Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud
• Mandatory Experience in Azure Databricks and ADF, Azure Synapse and PySpark
• Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure).
• Deep technical understanding of major cloud tools like Azure, GCP, AWS, data analytics technologies, methodologies, and best practices.
• Strong technical experience in major BI reporting tools like Power BI
• Relevant certifications in Azure, Databricks and Big Data are a plus.
• Experience with integration of different data sources with Data Warehouse and Data Lake is required
• Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning
• Data Fabric, Mesh, Lakehouse data implementation experience.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

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