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Relevant certifications such as Azure Cloud Architect, AWS Solution Architect, or Togaf Certified. Support the product engineering teams in various capacities (Solution architect/Integration architect/Data architect) by driving complex enterprise solutions, accelerators, and creating knowledge repositories to improve delivery efficiency.
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The ideal candidate will have extensive experience in data analytics tools and platforms, with a strong focus on Google Analytics 4 (GA4), Google Tag Manager (GTM), Looker Studio, Firebase, BigQuery, Amplitude, Databricks, and Tableau.
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Experience with AWS, Microsoft Azure or Google Cloud Platform configuration and administration of security features and services (including identity and access management, networking, firewalls, encryption.
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Certifications in related areas like AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.
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The Senior Data Architect with Snowflake experience is a specialized role responsible for designing and implementing data solutions on Azure cloud platform, particularly leveraging Snowflake and DBT Labs. This role involves collaborating with clients and internal teams to architect, deploy, and optimize data solutions that meet business requirements while ensuring scalability, security, and performance.
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Expertise in Azure Cloud Architect, including but not limited to Custom Imaging and VDI/Hypervisor, Intune and MDM management, VNet and Resource Groups, and Azure VPN gateways. McKesson is looking for a Sr. Network and Azure Cloud Architect with a combined total of 10+ years of experience, specializing in Microsoft Azure Cloud Platform Architecture and technologies.
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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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5+ years of experience working with cloud platforms, such as Azure, AWS or Google Cloud, to architect and implement scalable, high performance and efficient solutions.
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As a Lead Data Engineer, you will work closely with the Data Architect and other stakeholders to understand their data needs and provide solutions to meet those needs. Collaborate with the Data Architect and other stakeholders to understand their data needs and provide solutions to meet those needs.
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Relevant certifications, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect.
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Our mandate includes helping customers define their data strategy, help architect the solution based on the requirements, build master data models to conform to business needs.
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Sound understanding and security architecture/engineering experience with one or more IT systems such asCloud ( AWS/GCP/Azure/Oracle)Containerization and Virtualization technologies such as Kubernetes ( OpenShift, AWS EKS, Google GKS), Service Mesh ( Istio ), Kubevirt and VMWareFirewall, Network Security, Software Defined Networks, CASB, SASE and Micro segmentation.
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Broad experience across several technology domains (virtualization, software-defined networks, computing, storage, network, database, data center, cloud, desktop, mobile devices, SCADA systems, identity & access management, etc.
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google's Vertex AI.
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AWS Cloud Practitioner or similar certification. Highly skilled teams of engineers and solutions architects with deep expertise across cloud, security, networking and modern data center infrastructure help customers acquire, deploy and operate technology that delivers impactful business outcomes.
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aws solution architect data google cloud jobs Company: Tiger Analytics in Dallas, TX
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