Cloud Data Migration Lead (SC/DV Cleared)

La Fosse

Greater London

On-site

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

La Fosse is seeking an experienced Data Migration Lead to own the end-to-end migration of data from legacy systems into a modern cloud environment. You will work with engineering, architecture, testing, product and delivery teams to define the approach and execute data migration with strong governance.

This hands-on leadership role requires deep data structures understanding, mapping, quality, and migration execution to ensure data integrity and successful cutover on a major government

Qualifications

  • Experience leading enterprise-scale data migration programmes.
  • Strong SQL capability and relational data models understanding.
  • Data mapping, transformation, validation and reconciliation.
  • Experience with ETL/ELT pipelines and modern data workflows.
  • AWS or comparable cloud environments.

Responsibilities

  • Own end-to-end data migration strategy and delivery plan.
  • Lead migration from legacy/on-premise systems to cloud platforms.
  • Oversee data discovery, profiling, mapping and transformation.
  • Define migration rules, reconciliation and acceptance criteria.
  • Manage data quality, cleansing and remediation activities.
  • Design and oversee ETL/ELT processes and pipelines.
  • Plan rehearsals, cutover and rollback approaches.
  • Ensure data integrity throughout the migration.
  • Collaborate with Data Architects, Engineers, Test & Delivery teams.
  • Identify risks, dependencies and technical constraints.

Skills

SQL
Data migration
Stakeholder leadership
Agile delivery

Tools

AWS
ETL/ELT tools

Job description

La Fosse is seeking an experienced Data Migration Lead to own the end-to-end migration of data from legacy systems into a modern cloud environment. You will work with engineering, architecture, testing, product and delivery teams to define the approach and execute data migration with strong governance.

This hands-on leadership role requires deep data structures understanding, mapping, quality, and migration execution to ensure data integrity and successful cutover on a major government

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