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As a Data Manager – Enterprise at MoeGo, you will own and lead data migration and data quality efforts for our most complex and high-impact customers. This is not a passive data support role. You will operate as the primary technical owner for data conversion, cleansing, validation, and migration across large, multi-location and franchise implementations. You will work directly with customers and cross-functional teams to design and execute data migration strategies, resolve complex data quality issues, and ensure successful cutovers into the MoeGo platform. This role requires strong technical depth, high autonomy, and the ability to lead client-facing data discovery and mapping sessions without heavy oversight. Because our organization is flat and highly collaborative, we are looking for someone who already operates at enterprise scale, takes ownership of outcomes, and can grow into broader technical or leadership responsibilities over time.
Job Responsibility:
Own end-to-end data migration execution for enterprise and multi-location customers from discovery through cutover and validation
Lead client-facing data discovery and data mapping sessions to define source structures, transformation rules, and migration scope
Profile, cleanse, normalize, deduplicate, and transform large datasets using Python and Pandas
Write advanced SQL queries (MySQL and PostgreSQL) to validate, transform, and reconcile migrated data
Define and apply business rules for matching, merging, and record standardization
Build repeatable migration scripts and reusable data transformation workflows using version control best practices
Partner with Implementation, Solutions Engineering, Product, and Support to resolve data-related blockers and edge cases
Create clear technical documentation including data mapping specs, transformation logic, validation plans, and migration runbooks
Design and execute data validation and integrity checks before and after migration
Identify risks early and define rollback or remediation approaches when needed
Contribute to continuous improvement of MoeGo’s migration tooling, standards, and playbooks
Requirements:
3+ years of hands-on experience in data management, data migration, or data conversion roles
Strong Python experience with heavy use of the Pandas library for data manipulation and transformation
Advanced SQL skills, specifically with MySQL and PostgreSQL
Proven experience executing complex data cleansing, normalization, and deduplication work
Experience using Git or other version control systems
Client-facing experience leading data kickoff, discovery, and mapping sessions independently
Strong technical documentation skills and the ability to clearly explain data issues and requirements
Experience owning migration outcomes — not just assisting or supporting tasks
Nice to have:
Experience with ETL concepts, data pipelines, or data orchestration tools
Experience with automated data validation or testing approaches
Working knowledge of SaaS infrastructure and data models
Broader engineering exposure (basic familiarity with Java or Go is a plus)
Experience with vertical SaaS, franchise systems, or multi-entity data models
Background in data quality, data conversion, or large-scale system migrations
What we offer:
Flexible benefit plans to employees and their family members at no cost to the employees