Mimecast Extraction Engineer

Veriipro · Chicago, IL, USA · 1 months ago

Pay:: 100.000 - 130.000
Job type:: Full Time

We are seeking a highly skilled Data Migration Subject Matter Expert (SME) with 8–10 years of experience to lead a large-scale email archive extraction and migration initiative from Mimecast to Microsoft Azure. The ideal candidate will have deep expertise in enterprise data extraction, cloud storage architecture, and automation using APIs and scripting tools.

Key Responsibilities

Lead end-to-end migration of legacy email archives from Mimecast to Microsoft Azure Blob Storage

Perform high-volume data extraction using Mimecast APIs, eDiscovery capabilities, and enterprise migration tools

Utilize third‑party tools such as Transvault, Nuix, or equivalent platforms for data extraction and migration

Develop automation scripts using PowerShell and Python for batch processing, API handling, and rate‑limit management

Design, implement, and manage Azure Blob Storage architecture, including Hot, Cool, and Archive tiers

Ensure secure data transfer with strict adherence to compliance, governance, and chain‑of‑custody requirements

Monitor, troubleshoot, and optimize extraction workflows and migration pipelines

Collaborate with infrastructure, security, and compliance teams to ensure seamless execution of migration activities

Maintain documentation for migration processes, architecture, and operational procedures

Required Skills & Experience

8–10 years of experience in IT infrastructure, cloud engineering, data migration, or related domains

Strong hands‑on experience with Mimecast Cloud Archive and large‑scale data exports

Proven experience working with REST APIs and enterprise integration workflows

Strong proficiency with Microsoft Azure, especially Azure Blob Storage, RBAC, and data lifecycle management

Experience using enterprise migration or eDiscovery tools (e.g., Transvault, Nuix, or similar platforms)

Strong scripting skills in PowerShell and/or Python for automation and troubleshooting

Experience handling high‑volume data extraction and performance optimization

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