AVP/VP, Data Platform Engineer

Overview GIC is one of the world's largest sovereign wealth funds with over 2,000 employees across 11 offices. We invest across more than 40 countries and asset classes, exposing you to a global network of industry leaders. As a leading global long-term investor, we work at the point of impact for Singapore's financial future and the communities we invest in worldwide. The Artificial Intelligence Alpha Group (AAG) is a newly formed, AI-native investment team dedicated to using artificial intelligence to drive superior investment performance. AAG fuses domain expertise, proprietary data, and cutting-edge generative AI to deliver differentiated insights and outperformance. What impact can you make in the role?We are seeking a Data Platform Engineer to design, implement, and manage the data foundation powering next-generation AI-driven research and investing systems. You will work closely with the ML Architect and Full-Stack Developer to ensure data pipelines, transformations, and databases are optimized for AI and analytical workflows. This role combines hands-on data engineering with coordination across dedicated data resources to deliver high-quality, well-governed, and AI-ready datasets. The ideal candidate has strong technical expertise in data architecture and transformation, a practical understanding of AI-driven feature engineering, and experience operationalizing data pipelines for intelligent systems. What will you do in this role?Collaborate with the ML Architect and Full-Stack Developer to design and maintain scalable data pipelines supporting AI model training, inference, and retrieval. Coordinate and oversee the work of dedicated data engineering resources (internal and external), ensuring quality, consistency, and timely delivery. Build and optimize data ingestion, cleaning, transformation, and enrichment workflows for both structured and unstructured datasets. Implement and manage data storage systems, including relational, vector, and graph databases, ensuring scalability, reliability, and integration with downstream applications. Support the development of feature transformation pipelines using both traditional and AI-assisted approaches. Implement data quality checks, lineage tracking, and governance practices to ensure reliable, compliant, and auditable use of data across systems. Collaborate with the Full-Stack AI Application Developer to integrate data services into production applications and APIs. Develop documentation, data dictionaries, and automated monitoring for data pipeline health and performance. Continuously explore modern data engineering frameworks and AI-enabled techniques and tools to improve productivity, scalability, and data workflow quality. What makes you a successful candidate?Bachelor's degree or higher in Computer Science, Data Engineering, or a related field. 8+ years of experience in data engineering, platform engineering, or data architecture, ideally in AI or analytics-intensive environments. Proficiency in Python, SQL, and modern databases and frameworks (e.g., PostgreSQL, DuckDB, Spark, Airflow, ClickHouse, Kafka or equivalent). Proficiency in extracting data from various formats (PDF, DOC, DOCX), with specific expertise in pulling key information from within tables and images, and experience with web scraping. Strong understanding of data modeling, feature engineering, and ELT pipeline design principles. Experience designing or working with vector databases or graph databases is preferred. Familiarity with data quality, metadata management, and governance frameworks. Working knowledge of cloud data environments (AWS/GCP/Azure) and containerized workflows (Docker, Kubernetes). Experience collaborating with AI/ML teams on data preparation and model-serving workflows. Strong coordination and communication skills to manage internal and external engineering resources. Work at the Point of Impact We aim to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams — be empowered to push boundaries, share your views, and be heard. We are anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guide our day-to-day decisions and our long-term strategy. Flexibility at GIC Our offices are vibrant hubs for ideation and growth. We believe flexibility enables us to do our best work, so teams come into the office four days per week to benefit from in-person collaboration, with the option to work from home and adjust as needed. GIC is an equal opportunity employer GIC is an equal opportunity employer and values diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We provide reasonable accommodations to participate in the application or interview process and to perform essential job functions. Please email at any point of the application or interview process if adjustments need to be made due to a disability. Our PRIME Values GIC is a values-driven organization. PRIME stands for Prudence, Respect, Integrity, Merit and Excellence, and guides our behavior, decisions, and relationships with clients, partners, and employees. #J-18808-Ljbffr