Avp/vp, Data Platform Engineer

**Location**:Singapore, SG

**Job Function**:Others

**Job Type**:Permanent

**Req ID**:16801
- GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s 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. We are pioneering a new model of active investing that fuses domain expertise, proprietary data, and cutting-edge generative AI. AAG is a cross-functional team comprising of experienced investors and expert technologists, working together to generated differentiated insights and deliver investment 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.

**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.
- 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.
- 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.
- 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 need 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 and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.

**Flexibility at GIC**
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

**GIC is an equal opportunity employer