About the role

Data Migration Specialist managing client data migrations to gaiia's platform. Collaborating with teams to ensure accurate and timely data transitions.

Responsibilities

Collaborate with customers and internal teams to assess legacy data environment: structures, sources, volumes, quality, and constraints.
Own migration solutioning: evaluate requirements, design approaches, and propose viable paths when blockers arise.
Independently explore unfamiliar systems to understand source data structure in relation to gaiia’s data model and product.
Collaborate with gaiia’s engineers on data extraction (databases, reports, flat files, APIs, etc.), and transformation approach aligned with business needs.
Take ownership of unblocking challenges by identifying workarounds and translating business and technical issues into actionable steps.
Support user acceptance testing (UAT) and ensure stakeholders see expected data outcomes.
Plan and execute cutover strategy: final "delta" migrations, downtime considerations, and rollback plans.
Monitor post-cutover data, resolve discrepancies, and ensure stability in production.
Produce documentation of the migration: mapping specs, transformation rules, data anomalies, and decision logs.
Manage migration execution progress through project management tools.
Communicate status, risks, and issues to implementation stakeholders and clients.

Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field, or equivalent work experience.
Experience (2-5+ years) working in data migration, data implementation, ETL, or similar roles.
Hands-on exposure to end-to-end migration processes (discovery, extraction, transformation, loading, validation).
Experience working with messy or poorly documented legacy systems.
Strong understanding of data mapping and transformation logic; ability to interpret legacy schemas.
Comfortable exploring new systems and forming hypotheses on how data can be extracted or structured.
Strong problem-solving mindset with a bias toward action and iteration.
Effective communicator with both technical and non-technical stakeholders, including clients.
Able to manage tasks and timelines while maintaining ownership of outcomes.
Comfortable operating in fast-paced, ambiguous environments.