Univeris

Data Engineer

• Serve as the technical authority on data strategy, modeling, and governance
• Act as the bridge between Enterprise Architecture and engineering execution
• Define architectural patterns and assist with their application
• Lead the design for decoupling data from monolithic systems into domain-specific services
• Define data synchronization and consistency patterns for distributed environments
• Architect and oversee data pipelines and replication into domain-service and analytics environments
• Design for advanced BI dashboards, RAG systems, and AI model training
• Establish DataOps best practices with Platform Engineers
• Champion a Data-as-a-Product approach for ingestion and transformation pipelines
• Oversee the evolution of data pipeline and analytics environments for external integrations and client-facing analytics
• Design cloud cost-efficiency strategies, including partitioning, indexing, and lifecycle policies
• Define Master Data Management strategies, identify Systems of Record, and govern data flows
• Embed CIRO, CSA, GDPR, data sovereignty, and Privacy by Design requirements into data models
• Co-lead the Univeris Data Governance Framework and facilitate the Data Governance Office
• Operationalize metadata management, master data, data security, and data quality policies
• Establish automated data quality rules and SLAs for Critical Data Elements such as KYC and account information
• Design retention and disposal mechanisms for audit and regulatory compliance
• Guide engineering teams on data access patterns and database performance tuning for OLTP and batch workloads
• Set the technology and security vision for a scalable, product-aligned data architecture roadmap
• Report to the Director of Enterprise Architecture

Data Architect