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Infinite Lambda

Enterprise Migrations Practice Area Lead

Data EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK£8k - £11k /moIn-person

About the Job

Requirements

  • You have owned a practice, a service line or a major programme end to end, including its direction, quality, people and commercial results, and you are comfortable making decisions that shape how a business delivers.
  • You have led large, complex migrations from legacy platforms such as Informatica, Talend, Oracle, SSIS or DataStage and understand common failure modes in these programmes.
  • You have hands-on knowledge of legacy source systems and modern platforms including Snowflake, Databricks, BigQuery, Iceberg, dbt and Fivetran, plus a structured approach to assessment, conversion and validation.
  • You have defined reference architectures, sequencing frameworks and quality gates, and built libraries of reusable assets and accelerators that teams use.
  • You have developed engineering teams across regions through mentoring, structured skill pathways and accreditation, and raised the bar for how those teams deliver.
  • You can lead discovery sessions with senior client stakeholders, act as the technical lead in joint pursuits with partners such as Snowflake and Databricks, and assess engineering talent in interviews.
  • You understand how delivery choices affect scoping, pricing and margin, and can work with Sales to win suitable work.

Responsibilities

  • Serve as a point of expertise for engineers, sales and clients on difficult migration decisions, including migration sequencing, refactoring versus as-is migration, and resolving conflicting logic.
  • Own the migration standard for Assess, Convert and Validate, including reference architectures, sequencing, reconciliation, stage-gate checklists and defined exclusions.
  • Ensure Fast and Deep Discovery produce defensible estimates, dependency maps and early risk indicators before committing to fixed-price work.
  • Maintain consistent quality across regions for conversion, reconciliation sign-off and post-go-live incidents.
  • Keep the practice current as Flowline, source parsers and target platforms such as Snowflake, Databricks, BigQuery and Iceberg evolve.
  • Join engagements during scoping, agree what reusable patterns, decisions, failure modes and measurements each strategic migration should produce, and assign responsibility for capturing them.
  • Capture lessons at wave checkpoints and review each engagement to determine what worked, what did not and what should change in the standard.
  • Decide which lessons become reusable assets and which remain specific to individual engagements.
  • Bring field requirements and recurring challenges to the Flowline product team, and move proven assets into Product & Services.
  • Build a global bench of migration specialists by developing engineers across AMER, EMEA and APAC to deliver migration waves independently and at scale to the practice standard.
  • Design and run a progression pathway from practitioner to leader, covering dbt and Snowflake foundations, Flowline accreditation, expertise in a legacy source system, delivery-wave ownership and leadership of client assessments.
  • Make accelerators and existing assets visible and reusable across teams so each engagement can start from established work.
  • Ensure live engagements use the practice’s accelerators.
  • Help Sales and Sales Engineers scope, estimate and price work using measured delivery speed so clients pay for the acceleration.
  • Make the commercial case for the practice in proposals, extensions and new scope, including converting Discovery engagements into migrations and expanding into BI and semantic-layer work.
  • Act as technical lead in joint pursuits with Snowflake, Databricks, dbt and Fivetran, and feed delivery learnings into joint go-to-market, certifications and co-marketing.
  • Write interview material and conduct technical interviews for migration roles.
  • Present the practice’s work internally and, where appropriate, at external events and in case studies.

About the Company

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