Azure Data Architect

Greeting,

Hope doing well

My name is Ankit Kumar, a Sr. Technical Recruiter with GroupNine LLC. We are looking for a suitable candidate for the position, I came across your resume and found this a perfect fit for this role. I would appreciate it if you can provide the best time and number to reach you to discuss this further

Azure Data Architect

Location: New York

Duration: 6+ months

Work Mode: Onsite/ Client site

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)

Domain:
Financial Services

Thank you for your time!