Two-way sync
Changes in Paylocity or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Keep Paylocity and Snowflake in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Paylocity is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Snowflake next to everything else the company measures.
Stacksync syncs Custom Fields, Employees, Onboarding, Deductions (Pay Setup) from Paylocity into tables in Snowflake continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Snowflake, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Paylocity where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.
A continuously synced copy in Snowflake gives you a durable, queryable record of how Paylocity's records change over time, for headcount planning and audit questions.
Segments, rollups, or risk flags computed in Snowflake sync back onto the matching records in Paylocity, where the HR team sees them in the system they already use.
People and organization records from Paylocity arrive in Snowflake as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Paylocity objects | Snowflake objects | How this pairing syncs | |
|---|---|---|---|
| Custom Fields Read-only company-specific custom fields returned by category, used to enrich the employee record downstream. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Custom Fields is specific to Paylocity and VARIANT Columns to Snowflake — each maps to any object or custom field on the other side. | |
| Employees Core HR record keyed by companyId + employeeId; two-way via Create New Employee (POST) and Update Employee (PATCH), plus Get Employee / Get All Employees for reads. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | Employees is specific to Paylocity and Virtual Warehouses to Snowflake — each maps to any object or custom field on the other side. | |
| Onboarding Create Employee Onboarding pushes new-hire data into Paylocity's onboarding workflow; Get Onboarding Status reads back partner onboarding progress. Write-in for hires from an ATS. | Databases Top-level containers that scope which data a sync can touch. | Onboarding is specific to Paylocity and Databases to Snowflake — each maps to any object or custom field on the other side. | |
| Deductions (Pay Setup) Recurring deduction codes at the employee level; two-way via Upsert Deduction and Delete, with Get Deduction / Get All Deductions for reads. | Schemas Namespaces within a database used to organize synced tables. | Deductions (Pay Setup) is specific to Paylocity and Schemas to Snowflake — each maps to any object or custom field on the other side. | |
| Earnings (Pay Setup) Recurring earning codes at the employee level; two-way via Upsert Earning and Delete, with Get All Earnings and Get by earning code for reads. | Tables The main landing and activation target for synced records. | Earnings (Pay Setup) is specific to Paylocity and Tables to Snowflake — each maps to any object or custom field on the other side. | |
| Local and State Taxes Two-way via Create/Update/Delete Local Tax and Upsert Primary / Non-Primary State Tax; Get by tax code and Get All for reads. | Views Modeled projections used as the source side of outbound syncs. | Local and State Taxes is specific to Paylocity and Views to Snowflake — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionPaylocity notifies Stacksync of record changes through webhook events. Webhooks — Paylocity POSTs Employee New Hire, Employee Change, Termination, Payroll Processed, and Time Off Approval events to a callback URL.
DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.
DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.
DeliveryEach detected change is written to Paylocity through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Paylocity–Snowflake connection.
Changes in Paylocity or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Paylocity or Snowflake data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Paylocity or Snowflake record.
Track your Paylocity ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Paylocity and Snowflake.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Paylocity and Snowflake with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Paylocity and Snowflake objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Paylocity and Snowflake: authenticate both systems, choose the objects to sync (such as Paylocity's Custom Fields and Employees), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Paylocity and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Paylocity–Snowflake integration in-house.
Yes — Stacksync ships production-grade connectors for both Paylocity and Snowflake. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Paylocity: Webhooks — Paylocity POSTs Employee New Hire, Employee Change, Termination, Payroll Processed, and Time Off Approval events to a callback URL; payloads carry only companyId and employeeId, so the receiver calls the relevant API to fetch changed values. Scheduled polling is used for objects without webhooks. On Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Snowflake side: VARIANT Columns, Virtual Warehouses, Databases, Schemas, plus custom fields where Snowflake exposes them. On the Paylocity side: Custom Fields, Employees, Onboarding, Deductions (Pay Setup). Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 547 integrations available for Paylocity and Snowflake.