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Lambda

Cloud-based GPU services for AI training

Senior Workday Integration Architect

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 10 years of experience in HRIS, enterprise integration, or systems architecture, including at least 6 years designing and building Workday integrations.
  • Have taken at least one full Workday HCM implementation live as the integration lead or architect, including payroll and benefits integrations.
  • Expertise with EIB, Core Connectors, Workday Studio, Workday Web Services (SOAP and REST), RaaS and custom reports, calculated fields, XSLT/XPath, and integration security (ISUs, ISSGs, OAuth/API clients).
  • Hands-on experience with an iPaaS or middleware platform and understanding when to use it versus native Workday tooling.
  • Have built or supported payroll, benefits carrier, 401(k), and tax filing integrations, and understand their data, timing, and reconciliation challenges.
  • Strong SQL and data modeling skills; familiarity with JSON, XML, CSV, SFTP, APIs, and webhooks; and a rigorous approach to data validation and reconciliation.
  • Have operated in a SOX or audit-facing environment and understand change control, access reviews, and evidence requirements for integrations involving sensitive employee and compensation data.
  • Design for failure, test thoroughly, document work, and validate integration changes before production.
  • Translate effectively between People, Finance, Payroll, IT, Security, and Engineering, and explain technical issues and architecture decisions to relevant stakeholders.
  • Adapt plans as requirements change, the company grows, and new countries and vendors are added.

Responsibilities

  • Define and own Workday's target-state integration architecture, including patterns, standards, naming conventions, error handling, monitoring, and reusable components; select among EIB, Core Connectors, Workday Studio, Web Services, RaaS, Workday Orchestrate, and Workato, and document the rationale.
  • Serve as technical lead for integrations in the Workday implementation by driving design sessions, building and testing alongside the implementation partner, reviewing partner deliverables, and approving readiness for cutover, parallel testing, and hypercare.
  • Design and execute data extraction, transformation, and load from Rippling into Workday, including historical data, cutover sequencing, and validation; plan the decommissioning of Rippling-based integrations without gaps.
  • Build and maintain inbound Workday feeds for recruiting and offer data from Ashby, organization and cost center data from NetSuite, equity and compensation data, and other upstream systems, with clear data ownership and validation.
  • Build and maintain outbound feeds to benefits carriers, 401(k), tax filing, international and global payroll providers, equity administration, and downstream systems including Okta, Lumos, and BigQuery.
  • Own payroll results, accounting journal, and general-ledger posting integrations to NetSuite; partner with Payroll Operations and Accounting on reconciliation across Workday, payroll provider results, and the general ledger.
  • Partner with IT on the Workday-to-Okta joiner, mover, and leaver lifecycle, access provisioning through Lumos, and Workday security group and ISU/ISSG design for integration accounts.
  • Design Workday data extracts and RaaS reports for BigQuery and the analytics platform, and define data contracts for People Analytics and Finance.
  • Establish monitoring, alerting, retry logic, runbooks, and on-call practices for integrations; lead root-cause analysis when files fail, records are rejected, or downstream systems disagree with Workday.
  • Design integrations and integration security to satisfy SOX ITGC requirements, including least-privilege ISUs, credential and certificate management, change management, segregation of duties, audit trails, and evidence capture; support internal and external audit requests.
  • Assess the impact of Workday's semi-annual releases on integrations, run regression testing, and adopt capabilities that reduce custom development and manual work.
  • Write documentation, an integration inventory, and data dictionaries; mentor analysts and partner consultants; and set standards for code review, testing, and design quality.

Desired Qualifications

  • Familiarity with Workday Orchestrate, Prism Analytics, or Extend.
  • Experience with Workato; experience with Boomi, MuleSoft, or similar platforms is also valued.
  • Experience with PECI/PICOF or Global Payroll Connect integrations for multi-country payroll.
  • Workday Pro certifications in Integrations, Studio, Payroll, or HCM.
  • Experience migrating from Rippling or another all-in-one HR/payroll platform to Workday.
  • Experience with international payroll providers such as ADP Celergo, CloudPay, Papaya Global, or Deel, and employer-of-record arrangements.
  • Familiarity with NetSuite, Okta, Lumos, Workato, and BigQuery.
  • IPO readiness experience, including integration control design and equity compensation data flows.
  • Experience using AI tooling to accelerate integration testing, documentation, mapping, or reconciliation.

About the Company

Lambda

Cloud-based GPU services for AI training

Lambda Labs provides cloud-based GPU services for AI training and inference via its AI Developer Cloud, powered by NVIDIA GH200 Grace Hopper hardware to efficiently train large language models and generative AI. Customers access on-demand or reserved GPUs and are billed by the hour (for example, NVIDIA H100 at about $1.99/hour); it also offers Lambda Echelon, where clients own infrastructure but pay a monthly hosting and support fee, and Lambda Stack, a software suite that helps ML teams install and upgrade tools like PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers. The company differentiates itself through competitive pricing, available high-end hardware, and an integrated ML software stack that streamlines workflows. Its goal is to enable scalable, affordable AI development and deployment by providing flexible GPU access, reliable hosting, and easy software deployment for teams working with large models.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$9.1B
Headquarters
San Jose, CA
Founded
2012

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