When an organization moves to a new system, its data and processes have to come along intact, and you're the specialist who makes that migration happen cleanly. Moving data to the new system without breaking it.
The work revolves around mapping and migrating: analyzing source data, designing how it maps to the new system, running conversions, and validating that nothing got lost or mangled. Edge cases and dirty data are where the time goes, and the craft is in catching the mismatch before it corrupts the new system. You'll work closely with both technical teams and the people who use the data.
The pressure depends on the project. A go-live date tends to loom over everything, so cutover windows can mean long nights or weekends — legacy data is often messier than anyone admits upfront, requirements shift, and a botched conversion erodes trust fast with users and stakeholders. The work blends technical skill with a lot of careful coordination.
Those who thrive here tend to be detail-obsessed, methodical, and calm under a deadline — the sort who actually enjoy untangling a messy dataset. If you want highly visible or purely creative work, conversions can feel thankless when they go well and stressful when they don't. But for those who like making a hard migration land cleanly, the quiet wins add up.
Where this role sits in the broader career landscape — and where it can take you.
Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape — helpful for context, but your specific experience will depend on level, specialty, and where you work.
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