Enterprise Migrations Practice Area Lead

The Enterprise Migrations Practice Area Lead owns how Infinite Lambda moves enterprises off legacy data estates onto a modern, AI-ready platform. Those estates include Informatica, Talend, SSIS / SQL Server, DataStage and stored procedures, and more and more often SAS and Alteryx. The practice covers three stages:

Assess: estate discovery, feasibility, migration strategy, and a fixed cost and timeline.

This role is pivotal and strategic in the company in order to bridge the commercial offering to delivering on high quality.

The role has two sides. The first is delivery quality through knowledge management and training: are we migrating estates well, and getting better with each one? That covers the standards, the playbooks, the reusable assets, and what we learn from each strategic migration.

The second is commercial: does that quality show up in delivery speed and better offering? That covers practice-accelerated delivery, input to scoping and pricing, and reporting on margin. This role works together with Sales and Solution Engineers to make sure that IL can give the best offer in this Enterprise Migration area globally.

About Infinite Lambda

Infinite Lambda is Europe’s fastest-growing data and cloud engineering consultancy. We empower leading companies to scale and become data-first through agile, cloud-native solutions and cutting-edge practices.

Our mission is to bring top professionals together to make an impact at the intersection of tech and sustainable growth.

Headquartered in London and having distributed teams based in the UK, France, Hungary, Slovakia, Bulgaria, Vietnam, Singapore, Italy, Romania and now expanding to South America, we embrace diversity and make sure everyone is happy to be their true self at work. We have already started building teams in Brazil, Argentina, and Chile, and are looking forward to welcoming more teammates to contribute to meaningful projects. Together, we can grow, learn, and experiment with the cutting-edge data and AI technology (dbt and Snowflake among others) that we are all excited about.

Responsibilities

• Convert: code conversion with Flowline (our proprietary code conversion product), using deterministic and LLM-assisted methods, plus refactoring, optimisation and a first-pass ontology.
• Validate: reconciliation architecture and row-level reconciliation sign-off.

Practice and standards

• Be the person engineers, sales and clients ask when a migration question is hard: what to migrate first, what to refactor and what to move as is, and how to resolve conflicting logic.
• Own the migration standard for Assess, Convert and Validate. This covers reference architectures, sequencing, reconciliation and stage-gate checklists, and what we won’t do.
• Make sure Fast and Deep Discovery produce a defensible estimate, a dependency map and early red flags before we commit to a fixed price.
• Hold the same quality bar in every region: conversion quality, reconciliation sign-off and post-go-live incidents.
• Keep the practice up to date as Flowline, the source parsers and the target platforms change (Snowflake, Databricks, BigQuery, Iceberg).

Knowledge, IP and the asset catalogue

• Join engagements at scoping and agree what each strategic migration should leave behind (patterns, decisions, failure modes, measurements) and who will capture it.
• Capture lessons at wave checkpoints, and close each engagement with a review of what worked, what didn’t, and what should change in the standard.
• Decide which lessons become reusable assets and which stay one-offs.
• Bring field requirements and recurring challanges to the Flowline product team, and move proven assets into Product & Services.

People and enablement

• Build a global bench of migration specialists.
• Develop engineers across AMER, EMEA and APAC into a team that can deliver migration waves to our standard, independently and at scale.
• Own the path from practitioner to leader.
• Design and run the progression that takes engineers from dbt and Snowflake foundations, through Flowline accreditation and deep expertise in a legacy source system, to owning delivery waves and ultimately leading client assessments.
• Turn what we know into how we work.
• Make our accelerators and existing assets visible and reusable across every team, so each engagement starts from our best work rather than a blank page.

Commercial

• Make sure live engagements actually use the practice’s accelerators.
• Help Sales and Sales Engineers scope, estimate and price from measured delivery speed, so the client pays for the acceleration instead of getting it for free.
• Make the commercial case for the practice in proposals, extensions and new scope. This includes turning Discovery engagements into migrations and expanding into BI and semantic-layer work.

Partners and internal work

• Act as the technical lead in joint pursuits with Snowflake, Databricks, dbt and Fivetran, and feed what we learn in delivery into joint go-to-market, certifications and co-marketing.
• Write interview material and run technical interviews for migration roles.
• Present the practice’s work inside the company and, where it makes sense, at external events and in case studies.

Requirements

• Experience in large scale enteprise data migrations.
• Deep expertise in migration frameworks (Assessment, Conversion, Validation) and hands-on knowledge of legacy source systems alongside modern data platforms (Snowflake, Databricks, BigQuery, Iceberg, dbt, and Fivetran).
• Proven ability to define reference architectures, sequencing frameworks, quality gate checklists, and maintain centralized repositories of reusable assets, accelerators, and documentation.
• Experience training, mentoring, and accrediting cross-regional engineering teams on technical delivery standards and structured skill pathways.
• Ability to partner with Sales and Customer Success to accurately scope, estimate fixed-price engagements, price accelerator value into proposals, and track quarterly margins.
• Strong communication skills to act as the technical lead in joint partner pursuits (e.g., Snowflake, Databricks), conduct technical interviews, and lead Discovery sessions with clients.

Line management & how you will be supported

• Your line manager is the Chief Customer Success Officer, who is accountable for your direction, the practice charter and the review of your objectives. Strategic direction will be consulted with CTO and Head of Engineering is your counterpart on staffing, capability and the Engineering Leads' teams. Your dotted line into Sales & Customer Success covers scoping, pricing input and the commercial case; it carries no management authority.
• Cadence: a weekly one-to-one with the CTO, a monthly practice review with the Head of Engineering, and a quarterly practice report covering the success metrics below.
• Why join Infinite Lambda

Benefits

We support your growth

• with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;
• in a wholesome environment and get as much paid holiday as you need;

The projects are diverse

• and give you plenty of opportunity to experiment with new tech;
• The benefits are plenty, with work-from-home budget, a company MacBook and more on the list.
• Submit your
• CV in English in PDF

Mind that as we are an international team, internal communication is in English.

To ensure legislative compliance, applicants may be asked to provide up-to-date proof of a clean criminal record. Examples of said proof include extract n°3 of the Criminal Record (France), Büntetlen előélet (Hungary), Disclosure and Barring Service (DBS) check (UK), an extract from the Criminal Register (Slovakia), or a country-specific equivalent. Providing proof of a clean criminal record is the final step in the hiring process and will only be requested should the applicant accept an offer from Infinite Lambda.

Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.