Azure Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 9, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Data Ingestion #Azure Synapse Analytics #SQL (Structured Query Language) #Synapse #Azure #Data Security #Data Lake #AWS (Amazon Web Services) #Spark (Apache Spark) #ML (Machine Learning) #Scala #Azure Data Factory #Python #Compliance #Databricks #Azure cloud #GCP (Google Cloud Platform) #Cloud #Deployment #Storage #Data Architecture #ADF (Azure Data Factory) #Azure SQL #Security #Data Engineering #AI (Artificial Intelligence)
Role description
Job Title: Sr. Azure Data Architect (Databricks & Strong Banking Domain)
Jo Location: New York City, NY (Hybrid – 3 Days from Office)
Job Duration: Long Term
Our Challenge:
• We are seeking an experienced Azure Data Architect to design and implement scalable, secure, and efficient data solutions on Azure Cloud for our financial services client.
• The architect will lead the development of data platforms using Azure services and Databricks, ensuring robust data architecture that supports business objectives and regulatory compliance.
Responsibilities:
• Design and develop end-to-end data architecture on Azure Cloud, including data ingestion, storage, processing, and analytics solutions.
• Lead the deployment of Databricks environments and integrate them seamlessly with other Azure services.
• Collaborate with stakeholders to gather requirements and translate them into architectural designs.
• Ensure data security, privacy, and compliance standards are met within the architecture.
• Optimize data workflows and pipelines for performance and cost-efficiency.
• Provide technical guidance and mentorship to development teams.
• Keep abreast of the latest Azure and Databricks technologies and incorporate best practices.
Must Have:
• Extensive experience designing and implementing data architectures on Azure Cloud.
• Deep understanding of Databricks platform and its integration with Azure services.
• Strong knowledge of data warehousing, data lakes, and real-time streaming solutions.
• Proficiency in SQL, Python, Scala, or Spark.
• Experience with Azure Data Factory, Azure Data Lake, Azure SQL, and Azure Synapse Analytics.
• Solid understanding of security, governance, and compliance in cloud data solutions.
Nice to Have:
• Experience working in the financial services domain.
• Knowledge of machine learning and AI integration within data platforms.
• Familiarity with other cloud platforms like AWS or GCP.
• Certifications such as Azure Solutions Architect Expert, Azure Data Engineer, or Databricks Certification.
Certifications:
• Azure Solutions Architect Expert
• Azure Data Engineer Associate
• Databricks Certification (Certified Data Engineer or similar)
Domain:
Strong Banking
Job Title: Sr. Azure Data Architect (Databricks & Strong Banking Domain)
Jo Location: New York City, NY (Hybrid – 3 Days from Office)
Job Duration: Long Term
Our Challenge:
• We are seeking an experienced Azure Data Architect to design and implement scalable, secure, and efficient data solutions on Azure Cloud for our financial services client.
• The architect will lead the development of data platforms using Azure services and Databricks, ensuring robust data architecture that supports business objectives and regulatory compliance.
Responsibilities:
• Design and develop end-to-end data architecture on Azure Cloud, including data ingestion, storage, processing, and analytics solutions.
• Lead the deployment of Databricks environments and integrate them seamlessly with other Azure services.
• Collaborate with stakeholders to gather requirements and translate them into architectural designs.
• Ensure data security, privacy, and compliance standards are met within the architecture.
• Optimize data workflows and pipelines for performance and cost-efficiency.
• Provide technical guidance and mentorship to development teams.
• Keep abreast of the latest Azure and Databricks technologies and incorporate best practices.
Must Have:
• Extensive experience designing and implementing data architectures on Azure Cloud.
• Deep understanding of Databricks platform and its integration with Azure services.
• Strong knowledge of data warehousing, data lakes, and real-time streaming solutions.
• Proficiency in SQL, Python, Scala, or Spark.
• Experience with Azure Data Factory, Azure Data Lake, Azure SQL, and Azure Synapse Analytics.
• Solid understanding of security, governance, and compliance in cloud data solutions.
Nice to Have:
• Experience working in the financial services domain.
• Knowledge of machine learning and AI integration within data platforms.
• Familiarity with other cloud platforms like AWS or GCP.
• Certifications such as Azure Solutions Architect Expert, Azure Data Engineer, or Databricks Certification.
Certifications:
• Azure Solutions Architect Expert
• Azure Data Engineer Associate
• Databricks Certification (Certified Data Engineer or similar)
Domain:
Strong Banking
