HRMS migration
Field-level mapping, validation, and rollback between TalentLyft and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
TalentLyft
Source
BambooHR
Destination
Compatibility
9 of 11
objects map 1:1 between TalentLyft and BambooHR.
Complexity
BStandard
Timeline
4-8 weeks
Overview
Moving from TalentLyft to BambooHR is a platform-category migration from a dedicated ATS to an all-in-one HRIS. TalentLyft organizes hiring around Candidates and Applications flowing through Pipeline Stages; BambooHR organizes hiring around Job Openings with an Applicant list. These are fundamentally different data models, and the migration requires remapping every TalentLyft Candidate to a BambooHR Job Applicant linked to a specific Job Opening. Pipeline stages do not have a native BambooHR equivalent and must be preserved as custom Applicant Status fields or lookup lists. Talent Pools — a core CRM concept in TalentLyft — have no native BambooHR counterpart and are delivered as a structured CSV with a rebuild recommendation for BambooHR's lookup system. We use TalentLyft's paginated private REST API for extraction (no bulk export endpoint exists) and BambooHR's REST API with rate-limit handling for import. Automation rules and email templates do not migrate; we provide a written inventory for the customer's admin to rebuild.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a TalentLyft object lands in BambooHR, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
TalentLyft
Candidate
BambooHR
Job Applicant
1:1TalentLyft Candidates map to BambooHR Job Applicants. The mapping is not a direct field-to-field copy because BambooHR Applicants are structurally tied to a specific Job Opening, whereas TalentLyft Candidates exist independently. We first import all Job Openings, then import each Candidate as an Applicant linked to the Job Opening that the candidate's original Application referenced. First name, last name, email, phone, and source information transfer directly. Custom candidate-level fields migrate to custom applicant fields in BambooHR.
TalentLyft
Application
BambooHR
Job Applicant (reconciliation)
1:1Applications are the junction record linking a Candidate to a Job in TalentLyft. In BambooHR, this junction is implicit — the Applicant record exists within a Job Opening's applicant list. We preserve the application date, the original source (referral, job board, direct), and any application-level custom fields. If a single Candidate has Applications to multiple Jobs, we create one Applicant record per Job Opening. Pipeline stage at time of migration is preserved separately (see Pipeline Stages mapping).
TalentLyft
Job
BambooHR
Job Opening
1:1TalentLyft Jobs map directly to BambooHR Job Openings. We transfer job title, department assignment, location, employment type (full-time, part-time, contract), and job description. The job's BambooHR ID is required before any Applicant records can be linked, so Job Openings are imported first in the dependency order. Status (open, closed, archived) maps to BambooHR's Job Opening status field.
TalentLyft
Pipeline Stage
BambooHR
Applicant Custom Status Field
lossyTalentLyft Pipeline Stages have no native equivalent in BambooHR. BambooHR's applicant tracking uses a flat Applicant list without ordered stage progression. We resolve this by creating a custom Applicant Status picklist field in BambooHR that enumerates the customer's active Pipeline Stage names in their original order. We import each Applicant's current stage as the value of this custom field at migration time. Full stage-move history (which candidate passed through which stage on what date) is preserved in a structured notes field or as a JSON attachment on the Applicant record.
TalentLyft
Talent Pool
BambooHR
Structured Lookup List (CSV + Rebuild Plan)
many:1Talent Pools are a core CRM concept in TalentLyft with no native BambooHR equivalent. We export each Talent Pool as a structured CSV containing pool name, member count, member names, emails, source dates, and any pool-level custom fields. In BambooHR, we create an Employee Lookup custom field (multi-select or tag-based) on the Employee record so that the customer's HR admin can manually associate employees with their Talent Pool origins post-migration. We also provide a rebuild plan recommending BambooHR's built-in Applicant Tags as a lightweight pool proxy for future sourcing.
TalentLyft
Education (Application sub-record)
BambooHR
Custom Applicant Fields or File Attachment
1:1Education records in TalentLyft are sub-records on Applications with degree, institution, field of study, and dates. BambooHR does not have a native Education object on Job Applicants. We map education data to custom Applicant fields (Education Degree, Institution, Field of Study, Graduation Date) when the number of education records is small. For candidates with multiple education entries, we attach a structured file or notes entry preserving the full education history per Applicant.
TalentLyft
Experience (Application sub-record)
BambooHR
Custom Applicant Fields or File Attachment
1:1Experience records (work history) in TalentLyft are sub-records on Applications with employer, title, dates, and description. Same as education — BambooHR Applicant records do not have a native Experience object. We map experience data to custom Applicant fields (Previous Employer, Previous Title, Employment Dates) for the most recent role, and attach the full work history as a structured file or notes entry for candidates with multiple positions.
TalentLyft
Custom Fields (Candidate-level)
BambooHR
Custom Applicant Fields
1:1TalentLyft custom fields at the Candidate level vary per account and are fully user-defined. We retrieve field definitions via GET /v2/custom_fields before migration and build a typed mapping table that maps each custom field to a corresponding BambooHR custom Applicant field by name and type (text, number, date, dropdown). Customers with 10 or more custom fields require an explicit field-by-field mapping session during scoping. The custom field schema is account-specific — no two TalentLyft accounts have identical custom field sets.
TalentLyft
Custom Fields (Application-level)
BambooHR
Custom Applicant Fields
1:1Application-level custom fields in TalentLyft store per-application metadata such as interview scores, offer details, or compliance flags. We map these to BambooHR custom Applicant fields using the same typed mapping approach as Candidate-level fields. Application-level custom fields are prioritized over Candidate-level fields when field names overlap, since the Application-level value reflects the most recent stage context.
TalentLyft
Department
BambooHR
Department
1:1Departments in TalentLyft map directly to Departments in BambooHR. We preserve department names and IDs and link them to Job Openings at import time. Departments are imported before Jobs to satisfy the referential integrity requirement in BambooHR's hiring module.
TalentLyft
Location (Site)
BambooHR
Location
1:1TalentLyft Locations (sites) used on Jobs to specify where a role is based map to BambooHR Locations. We migrate location records and link them to Job Openings at the destination. BambooHR Locations are used across Jobs and the HR core module for employee home office or work site assignment.
| TalentLyft | BambooHR | Compatibility | |
|---|---|---|---|
| Candidate | Job Applicant1:1 | Fully supported | |
| Application | Job Applicant (reconciliation)1:1 | Fully supported | |
| Job | Job Opening1:1 | Fully supported | |
| Pipeline Stage | Applicant Custom Status Fieldlossy | Fully supported | |
| Talent Pool | Structured Lookup List (CSV + Rebuild Plan)many:1 | Fully supported | |
| Education (Application sub-record) | Custom Applicant Fields or File Attachment1:1 | Fully supported | |
| Experience (Application sub-record) | Custom Applicant Fields or File Attachment1:1 | Fully supported | |
| Custom Fields (Candidate-level) | Custom Applicant Fields1:1 | Mapping required | |
| Custom Fields (Application-level) | Custom Applicant Fields1:1 | Mapping required | |
| Department | Department1:1 | Fully supported | |
| Location (Site) | Location1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
TalentLyft gotchas
No bulk export API forces chunked migration
Post-export activity is not migrated
Custom field schema is per-account with no export schema endpoint
Automation rules and email templates not portable
Application-level education and experience require parent-record resolution
BambooHR gotchas
Undocumented API rate limits can trigger 503 errors
Per-employee pricing model requires active record count verification
API credentials must be sent on every request to avoid extra round trips
Custom field schema varies per account and requires manual inventory
Document and attachment exports are not covered by standard report exports
Pair-specific challenges
Migration approach
Discovery and plan assessment
We audit the source TalentLyft account across record counts (candidates, applications, jobs, talent pools), active pipeline count and stage names, custom field definitions via GET /v2/custom_fields, talent pool membership volumes, department and location structure, and active automation rules and email templates. We assess whether the customer's BambooHR plan includes the ATS module. We produce a written migration scope that lists every object to be migrated, the object count per type, and a recommended BambooHR plan configuration for ATS coverage. This document is the basis for the fixed-price quote.
Schema design and custom field mapping
We design the destination schema in BambooHR. This includes confirming ATS module provisioning, configuring Job Opening fields to match the TalentLyft job structure, creating the custom Applicant Status picklist with the customer's pipeline stage names in original order, and mapping TalentLyft custom fields to BambooHR custom Applicant fields by name and type. For talent pools, we design the CSV export structure and recommend the rebuild approach (Applicant Tags or lookup list). Schema design is validated against a BambooHR sandbox or test tenant before any production data moves.
Data extraction and parent-record resolution
We extract all records from TalentLyft via paginated REST API calls. Because there is no bulk export endpoint, we implement cursor-based pagination over the candidates endpoint and chunk extraction into batches of 100-200 records per request to avoid timeout. For each Application record, we first stage the parent record chain (Candidate ID → Application ID) before pulling sub-records (Education, Experience) that require both IDs in the API path. This two-pass approach adds one API round per application but is necessary for data integrity. The extraction produces a structured staging dataset organized by object type.
Data transformation and talent pool export
We transform the staging dataset to match BambooHR's schema. Applications are resolved against their parent Job Opening and Candidate to produce Applicant records. Pipeline stage is mapped to the custom Applicant Status field. Talent Pools are exported as structured CSV files with candidate names, emails, source dates, and pool names. Education and experience sub-records are flattened into custom Applicant fields for the most recent entry, with full history attached as structured notes. Custom field values from TalentLyft are cross-referenced against the field definitions from GET /v2/custom_fields to ensure type consistency.
Production migration in dependency order
We import data into BambooHR in record-dependency order: Departments and Locations first (to satisfy foreign-key requirements), then Job Openings, then Job Applicants (with stage history as custom fields), then education and experience data. We use BambooHR's REST API with rate-limit handling (10 requests per second default, with exponential backoff on 429 responses) and batch chunking at 50-100 records per request. Each phase emits a row-count reconciliation report before the next phase begins. Talent Pool CSVs are delivered alongside the migration as a separate artifact for manual rebuild.
Validation, cutover, and automation handoff
We perform record-level spot checks against the source data after each phase. We verify application counts per Job Opening, pipeline stage distribution across Applicants, and talent pool member counts. After validation, we freeze writes in TalentLyft, run a final delta pass for any records modified during the migration window, and enable BambooHR as the system of record. We deliver the automation and email template inventory to the customer's HR admin for manual rebuild. We support a one-week hypercare window to resolve post-migration reconciliation issues. We do not rebuild TalentLyft automations as BambooHR Workflows inside the migration scope.
Platform deep dives
TalentLyft
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. All 7 core objects map 1:1 between TalentLyft and BambooHR.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across TalentLyft and BambooHR.
Object compatibility
All 7 core objects map 1:1 between TalentLyft and BambooHR.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
TalentLyft: Not publicly documented in available documentation.
Data volume sensitivity
TalentLyft doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during TalentLyft to BambooHR migration scoping. Not seeing yours? Book a call.
Walk through your TalentLyft to BambooHR migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave TalentLyft
Other ways to arrive at BambooHR
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.