Sr. Azure Data Architect (Databricks, Banking Domain,Credit Risk) -ONSITE-W2 role

Sr. Azure Data Architect (Databricks & Strong Banking Domain, Credit Risk)

Location : New York City, NY- ONSITE

Interview : Video + Final Client will be In-Person interview

We are currently able to consider Only W2 candidates for this role.

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.

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.
• Domain: Strong Banking is required

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

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.