Azure Data Factory
: Job Details :

Position: Azure Data Factory ConsultantExperience: 12 to 15 years Contract: C2C/12 month possible extension Location: Stamford, CT & NYC Day 1 onsite Rate: As per market price • Architectural Design: To satisfy performance and scalability requirements, create thorough architecture blueprints utilizing Azure services, taking into account elements like serverless architecture, microservices, and containerization. • Cooperation and prerequisites Analysis: Collaborate closely with multidisciplinary teams to collect and assess comprehensive technical requirements. Work together to define architectural patterns that support corporate goals. • Standards and Guidelines: Create and implement Azure architecture standards and guidelines to guarantee best practices and uniformity throughout projects. To ensure compliance, conduct architecture reviews on a regular basis. • Technical Leadership: Assist development teams with technical decisions by providing direction on architecture selections, code reviews, and troubleshooting intricate problems. Assist younger members of the team in implementing Azure best practices. • Innovation and Industry Trends: Keep up with the latest developments in emerging technologies, Azure updates, and industry trends. Incorporate cutting-edge techniques and innovations into the architectural framework to improve productivity and efficiency. • Security Implementation: Put strong security measures in place, such as Azure Security Center, Azure Active Directory, and Key Vault. Create and implement encryption, industry standard compliance, and access controls. • Integration Expertise: Use Azure integration services, such as Logic Apps, Service Bus, and API Management, to design and implement smooth integrations. Assure effective data flow and communication amongst various components. • DevOps Integration: Use Azure DevOps to automate deployment, testing, and monitoring procedures, and to create end-to-end CI/CD pipelines. Apply Infrastructure as Code (IaC) by utilizing Terraform or ARM templates as tools. • Scripting and Automation: Show that you know how to use scripting languages like Python and PowerShell. Create automation scripts to handle configuration management, resource provisioning, and daily operations. • Problem-solving and Optimization: Use your strong analytical abilities to troubleshoot difficult problems and optimize Azure environments for cost, resource usage, and performance. • Communication Skills: Clearly explain technical ideas to stakeholders who are neither technical nor non-technical. Provide reference material for the architecture and operational procedures in the form of documentation. • Oversee the vendor providing hosting for data warehouses and serve as the main contact for any upgrades pertaining to Azure Synapse and Data Factory. • Excellent automation abilities and the capacity to spearhead efforts to automate procedures-particularly on the Azure platform-are required. • Establish strong security and compliance protocols in Snowflake, Databricks, and Azure to safeguard confidential information and adhere to legal mandates. • Knowledge of Snowflake When designing and implementing Snowflake data warehousing solutions, it is imperative to optimize for scalability, performance, and data governance. • Azure Solutions Architect Certification.