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Human resources ⇄ Data warehouse

Ceridian Dayforce to Snowflake integration — real-time, two-way sync

Keep Ceridian Dayforce 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.

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Why teams connect Ceridian Dayforce and Snowflake

Land the people and organization records from Ceridian Dayforce in Snowflake as live tables for workforce reporting, without extract jobs, and write computed results back where Ceridian Dayforce can use them.

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 Ceridian Dayforce 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 Org Units, Departments, Jobs & Positions, Time Away From Work & Balances, Employee (HR / Person Details), Employment Status from Ceridian Dayforce 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 Ceridian Dayforce where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
  • 02 Push product usage aggregates from Snowflake into sales and success tools for account prioritization
  • 03 Push new hires (Employee, Employment Status, Work Assignment) from an ATS or onboarding tool into Dayforce with POST once a candidate is hired, pre-fetching valid XRefCodes for department, position, location, and pay group.
  • 04 React to Dayforce Event Notifications for hire, rehire, and terminate to provision or disable IdP and app access and update downstream records as the changes post.

Common sync patterns

HR data in the warehouse, minus the pipeline

People and organization records from Ceridian Dayforce arrive in Snowflake as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

Headcount and cost joined with everything else

Analysts combine Ceridian Dayforce's workforce records with finance, product, or operational data already in Snowflake for reporting the HR system cannot produce on its own.

Fresh data instead of last night's load

Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.

What you can sync between Ceridian Dayforce and Snowflake

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.

Ceridian Dayforce objects Snowflake objects How this pairing syncs
Time Away From Work & Balances Time-off requests and accrual balances read per employee; pulled into scheduling, payroll, or absence-reporting databases and used to reconcile leave against downstream systems. Views Modeled projections used as the source side of outbound syncs. Time Away From Work & Balances is specific to Ceridian Dayforce and Views to Snowflake — each maps to any object or custom field on the other side.
Employee (HR / Person Details) Core worker record keyed by XRefCode; GET Employees returns matching XRefCodes, then a per-employee GET fetches full HR details. New hires are added with POST and edits made with PATCH, so it is read and write. Materialized Views Precomputed results synced outward for low-latency reads. Employee (HR / Person Details) is specific to Ceridian Dayforce and Materialized Views to Snowflake — each maps to any object or custom field on the other side.
Employment Status Effective-dated employment status and type (active, leave, terminated) that drives active/terminated state for downstream provisioning; read, and writable as new dated status records. Streams Row-level change records on a table, consumed to process deltas instead of full scans. Employment Status is specific to Ceridian Dayforce and Streams to Snowflake — each maps to any object or custom field on the other side.
Work Assignments Effective-dated position, department, location, and org-unit assignment; the most-synced record for org charts, provisioning, and analytics. Read and updatable via PATCH. Stages File staging areas used for bulk loads into synced tables. Work Assignments is specific to Ceridian Dayforce and Stages to Snowflake — each maps to any object or custom field on the other side.
Compensation Summary & Pay Adjustments Compensation Summary returns pay rate and frequency for reporting; Employee Pay Adjustments are written as effective-dated records via PATCH to post pay changes back to Dayforce. Tasks Scheduled SQL used to transform synced data after it lands. Compensation Summary & Pay Adjustments is specific to Ceridian Dayforce and Tasks to Snowflake — each maps to any object or custom field on the other side.
Employee Punches & Raw Clock Entries Time-and-attendance punches; raw clock entries are added with POST and punches removed with DELETE, so time data flows both ways between Dayforce and scheduling or workforce tools. VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. Employee Punches & Raw Clock Entries is specific to Ceridian Dayforce and VARIANT Columns to Snowflake — each maps to any object or custom field on the other side.

How changes propagate between Ceridian Dayforce and Snowflake

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.

Ceridian Dayforce Snowflake Sub-second propagation

DetectionCeridian Dayforce notifies Stacksync of record changes through webhook events. No CDC stream.

DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.

Snowflake Ceridian Dayforce Sub-second propagation

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 Ceridian Dayforce through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Ceridian Dayforce: Dayforce does not publish numeric rate limits; thresholds vary by tenant and exceeding them returns HTTP 429, so large employee reads are paged (pageSize) and throttled with backoff. Employee list calls return XRefCodes only, so each employee needs a follow-up GET.
  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Ceridian Dayforce ⇄ Snowflake

Connect Ceridian Dayforce and Snowflake for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ceridian Dayforce–Snowflake connection.

Real-time

Two-way sync

Changes in Ceridian Dayforce or Snowflake instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Ceridian Dayforce or Snowflake data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Ceridian Dayforce or Snowflake record.

Observability

Monitoring

Track your Ceridian Dayforce ⇄ Snowflake sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Ceridian Dayforce and Snowflake.

How the Ceridian Dayforce and Snowflake connectors work

Ceridian Dayforce

Integration surface
REST API (Dayforce RESTful Web Services, v1/v2), JSON payloads
Authentication
HTTP Basic authentication with a dedicated Web Services user plus the client namespace (Company ID), or an OAuth 2.0 access token from the Dayforce identity endpoint (POST dfid.dayforcehcm.com/connect/token, client_id Dayforce.HCMAnywhere.Client). Token-based auth is recommended, and the Web Services role with the Read Data subfeature must be enabled on the account.
Change detection
No CDC stream. Broad change detection uses delta polling on GET Employees with filterUpdatedStartDate/filterUpdatedEndDate and filterUpdatedEntities to pull only records changed in a window. Dayforce also has native Event Notifications (the Notification Publisher) for lifecycle events — hire, rehire, terminate, and workflow validation — delivered by push to a receiver service or by querying unacknowledged notifications; the publisher runs roughly hourly and each notification must be acknowledged.
Capabilities
read · write · webhooks
Rate limits
Dayforce does not publish numeric rate limits; thresholds vary by tenant and exceeding them returns HTTP 429, so large employee reads are paged (pageSize) and throttled with backoff. Employee list calls return XRefCodes only, so each employee needs a follow-up GET.
Ceridian Dayforce setup guide

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake setup guide
How it works

How to connect Ceridian Dayforce to Snowflake — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Ceridian Dayforce 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Ceridian Dayforce connected
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Ceridian Dayforce 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Ceridian Dayforce ⇄ Snowflake
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Ceridian Dayforce Snowflake
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Ceridian Dayforce and Snowflake integration FAQ

SECURITY

Security teams trust Stacksync

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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 547 integrations available for Ceridian Dayforce and Snowflake.

Popular · 8 of 547
All Ceridian Dayforce integrations All Snowflake integrations Browse all integrations
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