AWS Data & Storage Migration Architect

emagine; København; On-site; DKK 700,000 - 900,000; Full time

Job summary

emagine is seeking a Data & Storage Migration Consultant (AWS) to lead the migration of workloads and data from Azure and on‑prem to AWS in the Copenhagen area. You will define strategies, execute migrations at scale, and design storage patterns for diverse workloads while ensuring high integrity and controlled cutover.

The role covers planning, validation, and automation using Python and Terraform, with collaboration across IT delivery teams in a product‑led environment.

Qualifications

• Experience delivering large-scale data and storage migrations to AWS.
• Experience with Azure to AWS migration scenarios is a plus.
• Ability to design storage patterns for SMB access from AWS WorkSpaces and HPC workloads.

Responsibilities

• Define data migration strategy, sequencing, dependencies, runbooks and success criteria.
• Plan and execute file/data migrations using AWS DataSync and DB migrations using AWS DMS.
• Design storage patterns using S3, FSx and Storage Gateway for various workloads.
• Support migrations to AWS RDS with suitable migration approaches.
• Plan controlled cutovers with validation, rollback and data integrity checks.
• Ensure access management, backup and recovery for migrated data.
• Use Terraform to implement storage and migration infrastructure.
• Write Python automation for migration tasks, validation and reporting.

Skills

Data migration planning

Cloud migration

AWS services

Python scripting

Terraform IaC

Cutover planning

Data integrity validation

Performance optimization

Tools

AWS DataSync

AWS DMS

Amazon S3

Amazon FSx

AWS Storage Gateway

RDS (SQL Server / PostgreSQL)

Terraform

Python

Job description

emagine is seeking a Data & Storage Migration Consultant (AWS) to lead the migration of workloads and data from Azure and on‑prem to AWS in the Copenhagen area. You will define strategies, execute migrations at scale, and design storage patterns for diverse workloads while ensuring high integrity and controlled cutover.

The role covers planning, validation, and automation using Python and Terraform, with collaboration across IT delivery teams in a product‑led environment.