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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS and Azure Data Governance Engineer - **Company:** IntelliDyne - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $116,000.0 - $146,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Microsoft Azure, Big Data, Cloud Database, Cloud Engineering, Cloud Storage, Information Systems, Data Governance, Data Migration, Monitoring of Systems, Information Lifecycle Management, Python (Programming Language), Metadata, Meta-Data Management, Windows PowerShell, Aws Command Line Interface (CLI), Azure Data Lake, Systems Integration, Data Classification, Azure Data Factory, Cloud Monitoring, Boto3, Cloudformation, SC Clearance, Infrastructure Automation Frameworks, Storage Technologies, Information Technology, Bicep, Data Management, Cloudwatch, Terraform - **Published:** August 11, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87996104/1 ## About the Role Clearance: Must possess an active Secret clearance with the ability to obtain a US TS/SCI clearance, * 5+ years' experience in cloud data management, storage architecture, data lifecycle management, or data governance (AWS and/or Azure focus strongly preferred). * Bachelor's degree in Computer Science, Information Systems, Data Management, or other relevant discipline. * Must possess an active Secret clearance with the ability to obtain a US TS/SCI clearance * Hands-on experience with AWS S3 storage classes, lifecycle configuration, and AWS Lake Formation, as well as Azure Blob Storage tiering, lifecycle management policies, and Azure Data Lake Storage, including large-scale data migration processes across both platforms. * Proficiencyin scripting and automation for cloud data operations (Python with boto3, Azure SDK/PowerShell, AWS CLI, etc.), including infrastructure-as-code tools such as Terraform, AWS CloudFormation, or Azure Bicep for policy-as-code deployment. * Experience with cloud monitoring, reporting, analytics, and cost optimization for storage resources. * Demonstrates sound knowledge of the following areas: * Strong knowledge of data governance principles, data classification, retention/archival policies, and security/compliance frameworks in regulated environments. * Familiarity with federal compliance frameworks related to data governance (NIST SP 800-53, OMB Circular A-130, CUI handling requirements). * Data classification, cataloging, metadata governance, and stewardship, including compliance, retention, and security policy enforcement across AWS/Azure environments * Cloud storage cost optimization and FinOps practices * Must have an active professional certification such as AWS Certified Data Engineer - Associate, AWS Solutions Architect - Associate or Professional, Azure Data Engineer Associate, Azure Administrator Associate, or an equivalent data governance or cloud storage certification. ## Description The AWS and Azure Data Governance Engineer is responsible for monitoring, managing, and optimizing the lifecycle migration of data pools across storage tiers in cloud environments. This role focuses on the controlled transition of data from hot to warm, cool, cold, and archive storage classes within AWS S3 and EC2 storage solutions, as well as equivalent tiers in Azure Blob Storage and Azure Data Lake Storage. In this role, you will design and enforce automated data tiering policies, ensure strong data governance and compliance, optimize storage costs, maintain data integrity and accessibility, and use monitoring tools to oversee migration progress, performance, and adherence to retention and security requirements across AWS and Azure platforms., * Analyze data access patterns, usage frequency, and business requirements to design and implement data lifecycle management policies and automated tier transitions for AWS S3 storage classes (Standard, Intelligent-Tiering, Standard-IA, Glacier, Glacier Deep Archive) and Azure Blob Storage tiers (Hot, Cool, Cold, Archive), including data residing on EC2 instances and associated storage (EBS volumes and snapshots), to identify tiering opportunities and coordinate secure, efficient migrations to lower-cost storage classes. * Configure, deploy,monitor, andmaintainautomated data migration workflows using AWS S3 Lifecycle policies, S3 Batch Operations, and Azure Blob Storage lifecycle management rules. * Establish and enforce data governance standards, including data classification, metadata management, retention policies, access controls, encryption, and compliance requirements across AWS and Azure environments. * Utilize cloud-native monitoring, analytics, and cost management tools (AWS CloudWatch, Storage Lens, Cost Explorer; Azure Monitor, Azure Advisor, Cost Management) to track migration status, performance, cost savings, and compliance. * Collaborate with data owners, architects, and stakeholders to assess data sensitivity and value, recommendoptimalstorage tiers, and resolve issues related to accessibility, performance, or policy compliance during tier transitions. * Provide recommendations for improving data governance processes, increasing automation of migrations, achieving storage cost optimization, and integrating with enterprise monitoring and service management platforms. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Got AI ideas but no money? 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