Job description

Hi, I am Suresh from IPivot. Please find the job description below for your reference. If interested, reply with an updated resume. Job Title: Azure Data Architect Location: Weehawken, NJ(Hybrid) Duration: W2 Contract / Full Time Job Description: 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 the 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. Domain : Financial Services 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) Hi, I am Suresh from IPivot. Please find the job description below for your reference. If interested, reply with an updated resume. Job Title: Azure Data Architect Location: Weehawken, NJ(Hybrid) Duration: W2 Contract / Full Time Job Description: 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 the 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. Domain : Financial Services 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)

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