What are the responsibilities and job description for the Sr. Azure Data Architect (Databricks & Strong Banking Domain). position at Thronus Group LLC?
Job Details
Title: Sr. Azure Data Architect (Databricks & Strong Banking Domain).
Location: New York City, NY (3 Days Hybrid from Day 1).
Duration: 12 Months Contract.
Interview: Video Client In-Person interview
Domain: Only with Strong Banking, Financial Services 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 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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