Central Business Solutions is seeking a Sr. Azure Data Architect with expertise in Databricks and a strong banking domain background to design and implement data solutions on Azure Cloud. This role involves leading the development of scalable and secure data architectures for a financial services client in New York.
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 Google Cloud Platform. • 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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Central Business Solutions is seeking a Sr. Azure Data Architect with expertise in Databricks and a strong banking domain background to design and implement data solutions on Azure Cloud. This role involves leading the development of scalable and secure data architectures for a financial services client in New York.
GovServicesHub is seeking an experienced Azure Data Architect to design and implement data solutions on Azure Cloud for a financial services client. The role requires expertise in Databricks and a strong banking domain background.
iPivot is seeking an experienced Azure Data Architect with financial services domain experience to design and implement data solutions on Azure Cloud. The role involves leading the development of data platforms using Azure services and Databricks.
Beechwood Computing Ltd is seeking a Senior Data Engineer with expertise in Azure Synapse and Databricks for a contract position in Durham, NC. The role involves designing and optimizing data pipelines and analytics solutions to support child welfare business needs.
Bravens Inc is seeking an experienced Azure Databricks Architect to design and implement data solutions using the Azure Databricks platform. The role requires strong technical leadership and expertise in Big Data technologies.
Cognizant North America is seeking an experienced Azure Databricks Architect to design and implement scalable data solutions remotely. The ideal candidate will have extensive experience in Azure technologies and data engineering.
Central Business Solutions is seeking a Sr. Azure Data Architect with expertise in Databricks and a strong banking domain background to design and implement data solutions on Azure Cloud. This role involves leading the development of scalable and secure data architectures for a financial services client in New York.