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

Other

Languages

English: C2 Proficient

Seniority

Senior

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London, United Kingdom of Great Britain and Northern Ireland

Req. VR-124689

Strategy & Design Consulting (SI)

BCM Industry

04/09/2026

Req. VR-124689

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