Cloud Data Governance & Tiering Engineer

IntelliDyne, LLC

Washington (District of Columbia)

Hybrid

USD 116,000 - 146,000

Full time

11 days ago

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Benefits offered by this job

Competitive compensation

Training subsidies

Medical benefits

401K matching

Flexible PTO

Holidays

Parental leave

Military leave

Shutdown leave

Wellness program

Commuter benefits

Flexible work options

Job summary

IntelliDyne, LLC invites qualified professionals for an AWS and Azure Data Governance Engineer role in Washington, DC. This hybrid position focuses on lifecycle migration of data pools across storage tiers in AWS S3 and Azure Blob Storage/Data Lake, enforcing automated tiering policies and governance.

The role requires 5+ years in cloud data management, active Secret clearance (TS/SCI possible), and hands-on experience with scripting and IaC tools.

Qualifications

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.
Proficiency in 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.
Experience with cloud monitoring, reporting, analytics, and cost optimization for storage resources.
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.

Responsibilities

Analyze data access patterns, usage frequency, and business requirements to design and implement data lifecycle management policies and automated tier transitions for AWS S3 and Azure Storage tiers.
Configure, deploy, monitor, and maintain automated 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.
Utilize cloud-native monitoring, analytics, and cost management tools to track migration status, performance, cost savings, and compliance.
Collaborate with data owners, architects, and stakeholders to assess data sensitivity and value, recommend optimal storage tiers, and resolve issues during tier transitions.
Provide recommendations for improving data governance processes, increasing automation of migrations, achieving storage cost optimization.