ERP Integration Architect

ERP Integration Architect
Prudential's purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people's career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
The ERP Integration Architect is responsible for designing and implementing integration solutions (whether relying on Oracle integration suite or supporting technology teams in building integration middleware on other platforms)
The ERP Integration Architect plays a crucial role in designing, implementing, and maintaining integrations between Oracle Accounting Hub and various source systems.
This position collaborates closely with the Solution Architect, ERP Data & Systems Lead, and other FFP workstreams (e.g. Data workstream) to ensure seamless data flow and integration excellence.
Scope will be based on any inbound or outbound feed between Oracle Fusion stack and various systems (including our target data middleware hosted on Azure), ensuring seamless data flow and system functionality within the organization.
The ERP Integration Architect is also expected to provide expertise & guidance on defining integration patterns from source to Oracle.
Role and Responsibilities
**1. Lead design and Support delivery**:
- Analyze integration requirements and design integration solutions for Oracle Financials (incl. AHCS)
- Design, advise, and implement integration solutions between Oracle Financials and multiple systems, including SaaS models such as Coupa.
- Ensure compatibility and integration with multi-cloud settings, including Azure PaaS, SAS PaaS, and data platforms like Databricks, Synapse, and Azure Data Lake.
- Provide expertise in Oracle Financials, particularly in implementing on a SaaS basis and onboarding into Oracle Cloud.
- Develop and implement complex integration workflows, mappings, and transformations using Oracle technologies, Prudential's inhouse middleware data platform and local business units integration stack
- Collaborate with the Solution Architect to ensure alignment with the overall integration architecture (and Prudential's Enterprise Architecture team)
- Create and maintain technical design documentation (incl. low level design artefacts) for integration feeds
**2. Support QA / E2E Testing**:
- Support QA teams (from both Data workstream, local business units and consuming system owners) in developing and executing comprehensive integration test plans to ensure data accuracy, completeness, and consistency
- Provide support and guidance to all parties in testing execution and troubleshooting activities
**3. Lead go-live support & maintenance**:
- Monitor integration processes to ensure smooth operation and data flow
**Qualifications**
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
- 10 years of experience in designing and implementing data architectures for complex financial systems, preferably in the Oracle ecosystem
- Experience with data migration, data quality management, and data governance frameworks
- Excellent problem-solving and analytical skills
- Strong communication and leadership abilities
- Ability to work collaboratively in a fast-paced, multi-stakeholder environment
**Mandatory skills**
- At minimum 8 years of experience in ERP integration / interfaces design, build, test & deploy phases - with preference given to financial services industry
- Mandatory experience in Oracle Financials integration design and implementation.
- Experience with data platforms and middleware solutions liaising GL & Subledgers to various systems
- At least 2 implementation cycles on Oracle Fusion Financials ERP - preferably for financial services industry
**Preferred skills**
- Relevant Oracle Integration Cloud or Oracle Fusion certifications are highly desirable.
- Exposure (or implementation experience) to Azure data engineering stack (especially Azure Data lake storage architectures) as part of interface solutioning is highly desirable
- Exposure (or implementation experience) to Databricks stack as part of ETL solutioning is a plus
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