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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory.
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Knowledge and experience in Azure Data Factory, DBT, Snowflake, Dataiku, PowerBI. As the Principal Data Engineer in ACE, your role is to help create and communicate the data platform strategic direction, architect tools and platforms for all three ACE departments (Data Engineering, Data Visualization, and Data Science), implement and reinforce best practices, support and advise fellow data professionals, and architect complex data solutions.
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Relevant cloud certifications (e.g., OCI Architect Professional Certification, AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect) are helpful.
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Experience in recommending data governance best practices including MDM, security, privacy and policies. Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
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Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate) are a plus. Proficiency in cloud platforms like AWS, Azure, or Google Cloud, particularly in managing data and analytics services.
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Cloud Vendor Professional Certification (AWS Certified Solutions Architect - Professional, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Architect). You are a leader with vision - You are a hands-on data manager or architect and have delivered projects with varying complexities and environments.
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Skills: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL Database, Apache Spark, Hadoop, Databricks, and Azure HDInsight.
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Architect market leading Databricks solutions on leading Cloud platforms like Azure, AWS, and GCP. This includes ETL/ELT and Lakehouse architecture and design. Perficient currently has a career opportunity for a Databricks Technical Architect - REMOTE in our Data Solutions practice.
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4+ years of working experience with modern Cloud Platforms - Oracle Cloud, AWS, Azure, and GCP. + Proven experience as a Cloud Architect or in a similar customer-facing roles like pre-sales solution architect role, with a focus on enterprise cloud solutions.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Microsoft Azure Solutions Architect, AWS Solution Architect Professional, Google Cloud Architect, or Oracle Cloud Infrastructure Certification. 10+ years of experience in Cloud architecture with Cloud environments, including AWS, Azure, Oracle Cloud, or Google Cloud in FedRAMP and FedRAMP+ environments.
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Completed or actively pursuing certifications: Azure Security Engineer, CCSK, CompTIA Security+, GIAC or SANS certifications, MS Security and Azure certifications. Experience with Infrastructure as Code (IAC) and Terraform in Azure or other cloud environments.
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The AWS/Azure Cloud Security Architect will support the Department of Veterans Affairs by providing technical and programmatic support services to include development, maintenance, enterprise architecture, and administrative engineering support.
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Architect, develop and deploy (both hybrid cloud & full cloud) data architectures in Microsoft Azure. Design and develop warehouse solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, Azure Analysis Services.
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azure architect data warehouse jobs Company: Genesis10
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