Senior Migration Consultant

Luxoft

Greater London

Hybrid

GBP 110,000 - 180,000

Full time

14 days+
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Job summary

Luxoft is leading a strategic data engineering engagement to migrate an enterprise data processing estate from Matillion to AWS Glue for a world-class financial market infrastructure client.

During Mobilisation, you will reverse-engineer the current landscape, design target-state architecture, and build a detailed delivery blueprint to enable a large-scale migration. This role blends data engineering expertise with architecture leadership in a Tier 1金融 services environment.

Qualifications

  • Experience with enterprise-scale migrations and large data estates.
  • Ability to plan migrations across multiple systems and dependencies.
  • Deep knowledge of Control-M, schedules, dependencies and calendars.
  • Hands-on design of AWS Step Functions workflows and orchestration.
  • Experience identifying risks and mitigating them in migration programs.
  • Experience validating data post-migration and reconciling results.
  • Experience managing releases in enterprise environments.

Responsibilities

  • Wave planning to migrate cohorts based on system dependencies.
  • Assess and document complexity of workloads before migration.
  • Analyze batch processes, dependencies, schedules and SLAs.
  • Design migration strategy from Control-M to AWS Step Functions.
  • Create detailed cutover runbooks with steps and rollback criteria.
  • Coordinate across multiple teams involved in the migration.
  • Govern release processes to ensure quality and compliance.

Skills

Large-scale migration
Wave planning
Control-M
AWS Step Functions
Risk assessment
Data reconciliation
Release management

Tools

Control-M
AWS Step Functions
AWS Glue
Airflow
AWS Lambda
EventBridge

Job description

Project description

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

Responsibilities
  • -Wave planning — plan migration waves based on system dependencies and priorities
  • -Complexity assessment — evaluate complexity of each workload/job prior to migration
  • -Workload analysis — analyze existing batch processes, their dependencies, schedules, and SLAs
  • -Orchestration migration strategy — design the strategy for migrating from Control-M to AWS Step Functions (job mapping, dependencies, triggers)
  • -Cutover runbook — develop detailed cutover runbooks (steps, rollback points, success criteria)
  • -Pod coordination — coordinate across multiple teams/pods involved in the migration
  • -Release governance — manage release processes, ensuring quality and compliance with standards prior to deployment

SKILLS
Must have
  • -Large-scale migration experience — proven track record on enterprise-scale migration projects
  • -Wave planning — hands-on experience planning waves in multi-system migrations
  • -Control-M — deep knowledge of Control-M (jobs, schedules, dependencies, calendars)
  • -AWS Step Functions — hands-on experience designing and building workflows in Step Functions
  • -Risk assessment — experience identifying and mitigating risks in migration projects
  • -Data reconciliation — experience validating data/results post-migration (before/after comparison)
  • -Release management — experience managing releases in an enterprise environment

Nice to have
  • - Experience with other orchestration tools (Airflow, AWS Glue Workflows)
  • - AWS certification (Solutions Architect / DevOps Engineer)
  • - Knowledge of AWS Lambda, EventBridge (commonly used- alongside Step Functions)
  • - Experience in financial domain
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