Allianz

Data Engineer

• Rapidly assess and understand the current enterprise data platform across all layers and components
• Define and own the target-state architecture
• Drive scalability, availability, performance, security and resilience requirements into platform design
• Design the architectural roadmap for the next stage of platform transformation
• Translate business and data requirements into architectural decisions, reference designs and technical standards
• Provide hands-on architectural guidance to engineering teams during delivery
• Evaluate and select technologies, tools and vendors using trade-off analysis
• Champion automation, self-service and infrastructure-as-code
• Identify architectural risks, dependencies and trade-offs and recommend mitigation strategies
• Define integration patterns, data flows and governance standards across ingestion, transformation and consumption layers
• Establish and enforce architecture principles, design patterns and platform standards
• Collaborate with data governance, business, information security, enterprise architecture and technology stakeholders
• Support migration planning through target architectures, transition states and validation strategies
• Drive decisions on platform tooling, infrastructure and service selection
• Provide technical leadership through architecture reviews, code reviews, mentoring and implementation governance
• Define agentic integration patterns to enhance data ingestion options

Architect – Data Engineer

Customer Success Manager

• Support the Institutional CAM team in delivering professional, timely, and accurate service to institutional clients and internal stakeholders
• Assist with day-to-day coordination of institutional client requests, meeting preparation, follow-ups, and internal communication
• Prepare, maintain, and analyze client data, reports, presentation materials, and tracking tools
• Contribute to institutional business initiatives, including client presentations, due diligence questionnaires (DDQs), request-for-proposal (RFP) responses, and ad hoc projects
• Attend the office daily and work at least four hours per day; full-day availability is highly preferred

Architect – Data Engineer

Working Student, Client Engagement