Fractional Workday Studio Architect

Fractional Workday Integration (Studio) Consultant – Confidential Neighbourhood Network About the Confidential Neighbourhood Platform The client for this engagement is ahyper‑local neighbourhood networkthat connects over100 million verified membersacross roughly345,000 neighbourhoodsin more than11 countries . The platform provides trusted local news, real‑time safety alerts, recommendations, buy‑and‑sell listings and event information to help residents keep up with what is happening around them. Its mission is tomake every neighbourhood feel like homeby connecting neighbours with the people, places and information that matter. Members must verify their physical address before joining, ensuring that eachdigital neighbourhoodrepresents a real community and enabling conversations that strengthen safety and trust. The platform has become an essential channel where local businesses, public agencies and neighbours share information and build community. Role Summary The company is seeking aFractional Workday Integration (Studio) Consultantto support a large‑scale integration initiative between Workday HCM and its Python‑based, AWS‑hosted backend. This remote, fractional role (10–20 hours per week) will design, build and optimize Workday Studio integrations that seamlessly exchange data with the existingDjangoweb application,NGINX/uWSGIinfrastructure, andAWS Elastic Load Balancer . The consultant will work closely with HRIS, engineering and security teams to ensure that employee data flows securely and efficiently while respecting the company’s mission of fostering trusted neighbourhood connections. Key Responsibilities Integration Development & Architecture Build Workday Studio integrations.Design and develop Workday Studio and Enterprise Interface Builder (EIB) integrations that synchronize employee data with the internal platform. Implement Workday’s REST and SOAP APIs, Core Connectors and Report‑as‑a‑Service (RaaS) to exchange data withDjangomodels and services. Integrate with Python/AWS architecture.Develop connectors that interface with aDjango 3/Python 3backend,Django ORM , andcustom middlewarethroughRESTandGraphQLAPIs. Deploy integration services behindNGINX ,uWSGI , andAWS Application Load Balancersfor high availability and security. Optimize performance and scalability.Implement asynchronous processing, batching and retry logic to handle high volumes of Workday transactions. Align integration patterns with the company’s technology stack, includingCondaenvironments,MyPytype checking andauto‑scalinginfrastructure. System Analysis & Configuration Map Workday modules.Conduct detailed mappings of Workday HCM modules (Core HR, Recruiting, Payroll, Benefits, Absence and Compensation) to internal databases and middleware. Configure custom transformations and schemas to ensure that Workday objects align with theDjango ORMand the platform’s data model. Configure authentication and security.Manage OAuth 2.0 authentication between Workday and internal identity providers. Ensure that multi‑factor authentication and encryption controls align with the platform’s commitment to secure, trusted communities. Leverage CI/CD and testing.UseMyPyfor static type checking and integrate Workday tests into the existing CI/CD pipeline. Deploy integration code throughCondamanaged environments to maintain package isolation and reproducibility. API & Middleware Management Manage API endpoints.Develop and maintainOpenAPI 3.0documentation for all integration endpoints. UseDjango REST FrameworkandGraphQLresolvers to present employee data to other services while adhering to the platform’s hyper‑local data‑sharing ethos. Implement rate limiting and error handling.Apply IP‑based throttling and structured error handling to protect internal services from misuse and to provide reliable responses. Ensure middleware resilience.ConfigureuWSGI Emperorprocess management andNGINXreverse proxy settings to handle dynamic workloads. Coordinate withAWSauto‑scaling groups and load balancers to maintain service availability during peak integration runs. Data Governance & Monitoring Protect sensitive data.Implement data governance policies to ensure that personally identifiable information (PII) remains secure as it flows between Workday and the neighbourhood network. Enforce data minimization and retention policies consistent with global privacy regulations. Monitor and troubleshoot.Set up dashboards usingAWS CloudWatchand Workday Integration Logs. Monitor transaction status, manage exceptions and support audit readiness for compliance frameworks such as SOC 2 and GDPR. Support compliance and community trust.Align integration practices with the platform’s community guidelines, which emphasize trust, real identity and address verification. Collaboration & Documentation Stakeholder engagement.Work with HR, Payroll, IT and platform engineering teams to gather requirements and translate them into technical designs. Documentation and training.Produce detailed documentation—data flow diagrams, sequence diagrams and technical specifications—and train internal staff on integration workflows and troubleshooting procedures. Qualifications & Skills Professional experience:5+ years of Workday integration experience, including Workday Studio, EIBs and Core Connector. Technical expertise:Demonstrated ability to integrate Workday with Python‑based systems, using REST/GraphQL APIs and AWS services. Familiarity withDjango ,NGINX ,uWSGI ,AWS ALB , andCondaenvironments is essential. Security and data governance:Knowledge of OAuth 2.0, multi‑factor authentication and encryption best practices. Understanding of privacy regulations and the need to maintain community trust in a neighbourhood‑focused platform Analytical skills:Ability to map Workday modules to custom data models and design efficient transformations. Experience with MyPy type checking and continuous integration testing. Communication:Strong documentation and stakeholder management skills. Ability to explain technical concepts to non‑technical audiences. Engagement Details Type:Fractional consultancy (10–20 hours per week). Duration:Initially 6 months, with potential extension. Location:Fully remote, with flexibility to collaborate across time zones.