Sr. Azure Data Architect ( w / Databricks + Banking) Job at Marvel Technologies Inc, New York, NY

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  • Marvel Technologies Inc
  • New York, NY

Job Description

Our Client is hiring a Sr. Azure Data Architect (Databricks & Strong Banking Domain) for New York City, NY

Interview: Video + Client In-Person interview

Domain: Only with Strong Banking domain experience

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)

Job Tags

Full time,

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