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Data warehouse ⇄ Human resources

AWS S3 to Paylocity integration — real-time, two-way sync

Keep AWS S3 and Paylocity 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS S3 and Paylocity

Land the people and organization records from Paylocity in AWS S3 as live tables for workforce reporting, without extract jobs, and write computed results back where Paylocity 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 Paylocity is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in AWS S3 next to everything else the company measures.

Stacksync syncs Earnings (Pay Setup), Local and State Taxes, Direct Deposit, Pay Statements from Paylocity into tables in AWS S3 continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in AWS S3, 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.

Common use cases

  • 01 Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.
  • 02 Trigger incremental sync runs from S3 event notifications when new files land in a prefix.
  • 03 Two-way sync of Employees between Paylocity and an HRIS or identity provider so new hires, terminations, and demographic edits flow both directions.
  • 04 Push hired candidates from an ATS into Paylocity via the Onboarding endpoint, then read Onboarding Status to confirm the record before the first payroll run.

Common sync patterns

Queryable history for planning and audit

A continuously synced copy in AWS S3 gives you a durable, queryable record of how Paylocity's records change over time, for headcount planning and audit questions.

Write-back of computed values

Segments, rollups, or risk flags computed in AWS S3 sync back onto the matching records in Paylocity, where the HR team sees them in the system they already use.

HR data in the warehouse, minus the pipeline

People and organization records from Paylocity arrive in AWS S3 as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

What you can sync between AWS S3 and Paylocity

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.

AWS S3 objects Paylocity objects How this pairing syncs
Object Metadata System and user-defined metadata read alongside object contents. 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. Object Metadata is specific to AWS S3 and Deductions (Pay Setup) to Paylocity — each maps to any object or custom field on the other side.
Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. 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. Object Versions is specific to AWS S3 and Earnings (Pay Setup) to Paylocity — each maps to any object or custom field on the other side.
Event Notifications Notifications on object creation or deletion that trigger incremental processing. 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. Event Notifications is specific to AWS S3 and Local and State Taxes to Paylocity — each maps to any object or custom field on the other side.
Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. Direct Deposit Read-only: Get All Direct Deposit and Get Employee Bank Accounts return main and additional allocations. Bank details cannot be written through the API. Access Points is specific to AWS S3 and Direct Deposit to Paylocity — each maps to any object or custom field on the other side.
Multipart Uploads The mechanism used to write large export files reliably. Pay Statements Read-only detailed payroll statement data — earnings, deductions, taxes, and direct deposit allocations by year, check date, or date range. Pulled for reporting, never written. Multipart Uploads is specific to AWS S3 and Pay Statements to Paylocity — each maps to any object or custom field on the other side.
Buckets Top-level containers a sync targets; region and policy are set at this level. Company Codes Read-only reference codes and descriptions (cost centers, departments, positions) used to validate field mappings on employee writes. Buckets is specific to AWS S3 and Company Codes to Paylocity — each maps to any object or custom field on the other side.

How changes propagate between AWS S3 and Paylocity

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.

AWS S3 Paylocity Sub-second propagation

DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.

DeliveryEach detected change is written to Paylocity through its API, with automatic retries and rate-limit backoff.

Paylocity AWS S3 Sub-second propagation

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 written to AWS S3 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • AWS S3: Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes.
  • Paylocity: 25 requests per second (1,500 per minute); exceeding it returns HTTP 429. Every path is scoped to a Paylocity-assigned companyId (a company code, not a UUID).
What ships with AWS S3 ⇄ Paylocity

Connect AWS S3 and Paylocity for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Paylocity connection.

Real-time

Two-way sync

Changes in AWS S3 or Paylocity instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS S3 or Paylocity 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 AWS S3 or Paylocity record.

Observability

Monitoring

Track your AWS S3 ⇄ Paylocity sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS S3 and Paylocity.

How the AWS S3 and Paylocity connectors work

AWS S3

Integration surface
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes

Paylocity

Integration surface
REST API (v1 and v2), JSON payloads
Authentication
OAuth 2.0 client credentials via the Paylocity Identity Provider (/IdentityServer/connect/token) with the WebLinkAPI scope; access tokens expire after one hour and API access must be enabled by Paylocity for the company
Change detection
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.
Capabilities
read · write · webhooks
Rate limits
25 requests per second (1,500 per minute); exceeding it returns HTTP 429. Every path is scoped to a Paylocity-assigned companyId (a company code, not a UUID).
How it works

How to connect AWS S3 to Paylocity — 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 AWS S3 and Paylocity 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
    AWS S3 connected
    Paylocity connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS S3 and Paylocity 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 · AWS S3 ⇄ Paylocity
    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
    AWS S3 Paylocity
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS S3 and Paylocity 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 543 integrations available for AWS S3 and Paylocity.

Popular · 8 of 543
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