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AWS Solution Architect Certification, Google Professional Cloud Architect, Azure Solutions Architect Expert (One or more Required) Information Security programs including, but not limited to, audit reviews, risk assessment, awareness and training, identity and access management, data protections, secure SDLC, incident management, disaster recovery procedures, vulnerability assessment, penetration testing, third-party assessment, secure configurations, and patch management.
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Microsoft Azure certification(s) (e.g., Azure Data Engineer, Azure Solutions Architect) is a plus. Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Experience with assessment, development, implementation, optimization, and documentation of a comprehensive and broad set of security technologies and processes (SDLC) (Application Security), data protection, cryptography, key management, identity and access management (IAM), network security) within SaaS, IaaS, PaaS, and other Azure cloud environments.
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Security Principles: Comprehensive understanding of security principles, including identity and access management (IAM), network security, encryption, and data protection. Our client is looking for an Azure Cloud Security Architect for a Contract to Hire opportunity.
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Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365. Azure Solution Architect Expert certifications.
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Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Responsibilities:Lead the growth of Data and Analytics practice for Financial Services and InsuranceProvide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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As a Senior Cloud Security Engineer, you will play a key role in the on-going configuration and management of our Microsoft Azure Cloud security suite specifically Microsoft Defender for Cloud Apps, Azure Sentinel SIEM, Defender for Endpoint, and Defender Vulnerability Management.
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Experience with Azure Sentinel Azure Log Analytics Operations Management Suite OMS SysDig Application Insights. Identity Management Azure AD Azure AD B2C Open ID Connect.
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Cloud data or AI related Microsoft Associate or Expert certifications are a plus (examples: Azure Administrator Associate, Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Data Engineer Associate, Azure Solutions Architect Expert, Microsoft Cybersecurity Architect Expert or similar.
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Hands-on experience using Snowflake DBMS Services (Snowsight, SnowSQL, SnowCD, REST API, Snowpark) and Microsoft Azure Cloud infrastructure and services (Azure Data Factory, DevOps, Data Lake Storage, Databricks, Purview, Kubernetes, Maps, etc.
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Azure Advanced Networking Azure Virtual Networks ExpressRoute Site to Site VPN NSG App Service Environment ASG UDR.Azure PAAS Services Security and Provisioning Azure API Management Policies Azure App Service Event Hubs Service Bus Cosmos DB Azure SQL.Identity Management Azure AD Azure AD B2C Open ID Connect.
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Industry certifications and/or experience with cloud platforms and modern data center solutions such as AWS, GCP, Dell, HPE, NetApp, Nutanix, Hitachi, IBM, Etc. Provides technical leadership and direction to channel partners and sales staff with pre-sales activities in the assigned market on behalf of Arrow's cloud suppliers (Azure, AWS, GCP.
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Requires in-depth knowledge and experience with cloud in a given area, particularly Microsoft Azure, Microsoft 365 and Microsoft Copilot/Azure OpenAI/artificial intelligence. Demonstrates technical leadership and subject matter expertise on Cloud architectures and offerings in the modern data center.
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