Data Migration Technical Lead | Hybrid

The role:

We are looking for a hands-on Data Migration Technical Lead to join our team. You will take ownership of complex, high-volume data migration programmes from inception through to go-live. You will work directly with clients to gather

requirements, design source-to-target mappings, build and execute migration pipelines, and drive quality outcomes across every stage of delivery.

This is a dual-facing position: you will be a trusted technical authority in client rooms and a practitioner who rolls their sleeves up to write SQL, build ETL jobs, and resolve data quality issues. You will also contribute to the company's internal best-practice frameworks and you will participate in pre-sales work as required.

What you’ll do:

Client & Stakeholder Engagement

• Facilitate working sessions to agree data scope, cleansing rules, transformation logic, and acceptance criteria.
• Lead discovery workshops and requirements-gathering sessions, translating business needs into clear, actionable migration designs.
• Own the room with clients by presenting technical approaches, managing expectations, and building trust at all levels from data owners to C-suite level stakeholders.

Technical Delivery

• Produce and maintain source-to-target mapping specifications, data dictionaries, and transformation design documents.
• Design and build ETL/ELT pipelines using tooling such as Azure Data Factory, Informatica, Talend, or open-source equivalents.
• Write and optimise SQL for data profiling, extraction, deduplication, cleansing, and validation against legacy source systems.
• Develop Python (or equivalent) scripts to handle bespoke transformation logic and automation tasks.
• Execute migration runs, triage failures, and iterate through multiple mock and cutover cycles through to production readiness.
• Manage file and attachment migration workstreams

Standards & Practice

• Define and enforce delivery standards across migration workstreams, including testing frameworks, reconciliation reporting, and sign-off processes.
• Contribute to the company’s internal migration methodology, reusable accelerators, and best-practice documentation.
• Support Architects during pre-sales activities by scoping migration efforts, producing estimates, and contributing to proposals and client presentations as required.

What you have done:

Technical Experience

• Delivered multiple end-to-end data migration and ETL projects in complex, multi-system environments.
• Demonstrated proficiency in SQL for legacy data profiling and transformation, and in at least one scripting language (Python preferred) for automation.
• Hands-on experience with one or more enterprise ETL tools: Azure Data Factory, Informatica, Talend, or comparable open-source tooling.
• Managed high-volume data loads with an understanding of API bulk patterns, rate limits, and governor constraints.

Consulting & Delivery Background

• Consulting background with exposure to varied clients across multiple industries or verticals.
• Seen programmes through end-to-end, from initial scoping and workshop facilitation through to UAT, cutover, and post-migration hypercare.
• Accountable for delivery outcomes on a programme of work or defined workstream, with a track record of hitting milestones in pressured environments.
• Strong workshopping and facilitation skills; able to engage both technical teams and non-technical business stakeholders with equal confidence.

Nice to haves:

General

• Experience with Salesforce or other CRM data migrations.
• Familiarity with cloud data platforms (Azure Synapse, Databricks, Snowflake).
• Exposure to data governance frameworks or MDM tooling.
• Certifications in relevant platforms (e.g. Azure Data Engineer, Informatica).

Legal Sector Migrations

• Delivered data migrations from or between legal practice management systems, including platforms such as Aderant, Elite 3E, Proclaim, iManage, and MatterSphere.
• Worked hands-on with legal data structures: matters, clients, parties, time recordings, disbursements, and document/matter histories.
• Held working knowledge of legal data models such as Nebulaw, or finance/PSA platforms such as Certinia (FinancialForce).

Additional Details:

• Work Schedule: 1:00pm - 10:00PM
• Work Setup: Hybrid (once a month)
• Work Location: Makati or Ortigas