Data Engineer

• Define and lead the Asia enterprise data and AI architecture vision, strategy, and roadmap
• Establish target-state architecture for data, analytics, and AI platforms
• Drive alignment with global standards, regulatory requirements, and business strategy
• Lead architecture decisions involving trade-offs, investments, and technology choices
• Own end-to-end solution architecture for key data, analytics, and AI initiatives
• Ensure solutions are scalable, modular, secure, and production-ready
• Guide delivery teams across markets and act as final design authority for high-impact programs
• Design and govern cloud-native data and AI platforms across Azure and Alicloud
• Drive adoption of Data Fabric, Lakehouse, Data Mesh, GenAI, RAG, feature stores, and MLOps patterns
• Establish reusable architecture blueprints, patterns, and accelerators
• Standardize data models, pipelines, lifecycle management, quality, lineage, metadata, cataloguing, and master/reference data practices
• Establish data governance-by-design principles
• Enforce data security, privacy, compliance, auditability, transparency, and Responsible AI controls
• Lead architecture governance forums and design authorities
• Drive cross-market alignment, capability reuse, architecture guardrails, fitness functions, and automated compliance checks
• Support vendor and platform selection through architecture oversight and evaluation frameworks
• Partner with IT, Data, AI, Security, and Business leaders across global, regional, and local levels
• Advise CIO, CDO, and senior stakeholders and align technology investments with the architecture vision
• Collaborate with global architecture teams for standardization and reuse
• Lead and mentor a regional team of data solution architects
• Build capability maturity and drive adoption of modern engineering and architecture practices

Explore Head of Data Architecture at Manulife. Review requirements and application details.

Head of Data Architecture

• Architect, implement, and operate the complete data infrastructure pipeline for research and trading operations
• Design, build, and optimize scalable pipelines for ingesting, transforming, and integrating market data, news feeds, and unstructured data
• Ensure data quality, consistency, and real-time monitoring using dbt and data validation libraries
• Develop processes to normalize and organize the data warehouse for use across departments
• Apply data management practices to ensure scalable, available, and efficient data storage
• Maintain data integrity, security, and performance at scale for trading and research infrastructure
• Collaborate with research and analytics teams to understand data needs and build frameworks for exploration, analysis, and model development
• Create tools for overlaying data from multiple sources
• Optimize hardware and software resources to balance performance with cost control
• Evaluate and adopt suitable technologies and align systems with data management best practices

Explore Senior Data Engineer at hermeneutic Investments. Review requirements and application details.