Data Architect

Position:Data Architect Location:Warren, NJ | Hybrid –Nearby state Need candidates with strong P&C insurance domain experience. Key Responsibilities Platform Implementation & ConfigurationLead end-to-end design, configuration, and deployment of theProfisee MDM platform, including entity modeling, stewardship workflows, matching/merging rules, and survivorship logic. Architect and build master data domains includingPolicy, Customer/Party, Agent, Vendor, Location, and Productreference data tailored to P&C insurance business needs. Configure Profisee’s Hub, Spoke, and Registry styles of MDM as appropriate for each data domain. Develop and maintain data quality rules, validation logic, and survivorship hierarchies within Profisee. Integrate Profisee with upstream and downstream systems including Microsoft Fabric, Databricks, Azure Data Lake (OneLake), Snowflake, policy administration systems, and claims management systems. Data Governance & StewardshipPartner with Data Governance and business stakeholders to define Master Data policies, standards, and stewardship workflows. Design and configure business stewardship workflows in Profisee, enabling data stewards across Underwriting, Claims, and Actuarial domains to manage data quality exceptions. Establish golden record definitions and survivorship rules in alignment with business requirements. Support the development of data lineage, data catalog integration, and metadata management using tools such as Microsoft Purview. Architecture & IntegrationDesign MDM integration patterns using REST APIs, Azure Service Bus, Event Hub, and ETL/ELT pipelines to ensure bi-directional synchronization between Profisee and enterprise systems. Collaborate with the Enterprise Architecture team to align MDM solutions with the broader Data Mesh / Data Platform strategy, ensuring master data is published as trusted data products to domain teams. Build and maintain Delta Lake / Medallion architecture pipelines that ingest, cleanse, and promote master data from Bronze > Silver > Gold layers. Ensure high availability, disaster recovery, and scalability of the Profisee deployment on Azure. Data Quality & AnalyticsDefine, implement, and monitor Data Quality KPIs and dashboards for master data health across all domains. Conduct root cause analysis on data quality issues and drive remediation efforts in collaboration with source system owners. Develop data profiling and anomaly detection processes to proactively identify master data integrity issues. Stakeholder Engagement & DocumentationTranslate complex MDM and data governance concepts into clear, actionable guidance for business and technical stakeholders. Produce and maintain comprehensive technical documentation including solution designs, data models, integration specifications, runbooks, and stewardship guides. Provide training and enablement to data stewards, analysts, and IT teams on Profisee platform usage and MDM best practices. Actively participate in Agile/Scrum ceremonies, contributing to sprint planning, backlog grooming, and retrospectives. Required Qualifications Education: Bachelor’s degree in computer science, Information Systems, Data Management, or a related field. Master’s degree preferred. Experience: 5+ years of experience in enterprise data management, with at least 3+ years of hands‑on, production‑level experience with the Profisee MDM platform. Demonstrated experience delivering MDM solutions in financial services, insurance, or similarly regulated industries. Proven track record of implementing Party/Customer, Policy, or Product master data domains in complex enterprise environments. #J-18808-Ljbffr