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The Leidos Digital Modernization Sector Health IT Division is seeking a Senior Cloud Solution Architect/Technical Lead with extensive knowledge and expertise in Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) technologies and architecture.
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Experience and knowledge of cloud data platforms (such as AWS, Azure, Google Cloud Platform and Snowflake) and other data technologies (such as Informatica, Collibra, etc.) 2-3 years of experience in defining enterprise data strategy in the areas such as AI, data management, data governance, data supply chain, data security, data archival, data quality, master data management, data architecture, automation and/or cloud data migration for medium to large scale corporations.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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The Senior Cloud Solution Architect/Technical Lead will play a pivotal role the cloud migration journey for Federal Health customers, and will design, implement, and optimize cloud-based solutions on the AWS, Azure, and GCP platforms, ensuring a scalable, secure, and high-performing infrastructure that aligns with end user research and operational needs.
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The Senior Cloud Architect/Technical Lead will provide vision and direction to Senior Architects and IT staff across all three cloud technologies and collaborate closely with SecDevOps teams, stakeholders, and Cloud Service Provider (CSP) representatives to deliver innovative solutions that accelerate cloud adoption while minimizing disruptions to operations.
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Proficiency in modern on prem object storage technologies (CEPH, MinIO) and its cloud equivalents (AWS S3, Azure Blob Storage, Google Cloud Storage) Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with a public Cloud, including AWS, Microsoft Azure, or Google Cloud. Ability to monitor and operate Cloud data platforms. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Automate cloud infrastructure provisioning and management using infrastructure-as-code (IaC) tools. Provide expert advice on AWS, Azure and GCP-related topics, such as cloud migration strategies, security hardening, compliance requirements, and integration with other systems.
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Experience with Cloud platforms such as AWS, Entra, HPE, or Google Cloud is a plus. Professional security management certification is desirable, must be active/current, and v such as Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), Certified Information Systems Auditor (CISA), Certified Ethical Hacker (CEH), or other similar credentials.
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5+ years of experience with a public cloud, including AWS, Microsoft Azure or Google Cloud. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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One or more of the following certifications: Certified Scrum Master (CSM), Certified Information Systems Security Professional (CISSP), AWS Certified Solutions Architect – Professional, Google Cloud Professional Certification, PMI Project Management Professional (PMP.
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Amazon AWS Cloud Practitioner or Google Associate Cloud Engineer; Infrastructure as a Service (IassS) services, especially Amazon Web Services, Microsoft Azure or Google Cloud.
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Experience with distributed data or computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake. As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry.
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Certifications one or more: Google - Professional Data Engineer; AWS - Developer - Associate; Azure - MCSA: Cloud Platform (Development Focus) Providing knowledge of container management tools (e.g. Docker, OpenShift), container orchestration (e.g. Kubernetes), infrastructure-as-code (e.g. Ansible, CloudFormation), and have familiarity with modern build experience tools (e.g. Maven) and cloud integration systems (e.g. Jenkins.
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He/she will support the design and implementation of best of breed cloud services across several major cloud service providers, including AWS, Google Cloud Platform (GCP), Microsoft Azure (Azure.
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