Data Architect

Candidate Description

Marked by nearly two decades of data-platform expertise, this Data Architect excels at delivering cloud-native solutions for high-stakes financial, telecommunications and consulting environments. Their breadth spans end-to-end data-architecture design, modern lakehouse patterns and robust governance frameworks, gained at a Financial Institution, Trust Bank, OCBC, DBS, Singtel and a Technology Company. Leveraging a solid foundation in major cloud platforms alongside Snowflake, Databricks and Apache Spark, they consistently enable resilient, scalable and insight-rich data ecosystems.

Key achievements include reducing fraud-processing latency at Trust Bank from 15 seconds to 2 seconds, consolidating 12+ legacy systems for a Logistics Company s global logistics network, and engineering Snowflake-centric data warehouses that power real-time credit-risk analytics at a Financial Institution. Adept at metadata-driven ETL/ELT pipelines, CI/CD automation with Harness and GitHub Actions, and advanced security models, this professional orchestrates seamless integrations using Informatica, Talend and cloud services, underpinned by strong skills in Databricks, LangChain and LangGraph for generative-AI-ready architectures.

A proven leader and mentor, they collaborate fluently with cross-functional teams, steering strategic roadmaps while fostering best practices in data governance and DevOps. Their TOGAF-certified enterprise perspective, combined with practical experience across Banking, Insurance, Telecommunications and Streaming sectors, positions them as a versatile architect who consistently transforms complex data challenges into high-value business outcomes.