Bank-Scale Data Platform Lead & AI Insights Architect

Tangspac Consulting Group; Singapore; On-site; SGD 170,000 - 250,000; Full time

Job summary

Tangspac Consulting Group is seeking an experienced Lead Data Engineer for a financial institution in Singapore. You will lead the design and delivery of enterprise-scale data platforms supporting regulatory reporting, risk management, and analytics.

You will champion modern lakehouse architectures, govern unstructured data, and ensure AI outputs are traceable and compliant. Strong seniority is required with hands-on expertise in Databricks, Snowflake, and Python data tools.

Qualifications

• 12+ years of experience in enterprise data engineering, analytics, and data platform delivery.
• Significant leadership experience within banking, financial services, or other highly regulated industries.
• Proven track record delivering enterprise-scale data transformation and modernization initiatives.
• Strong hands-on technical expertise with Databricks, Snowflake, and lakehouse architectures.

Responsibilities

• Lead architecture, design, and implementation of enterprise-scale data platforms for banking and regulatory workloads.
• Define target-state data platform architecture using modern lakehouse technologies.
• Drive adoption of lakehouse architectures with Iceberg, Delta Lake, and Hudi.
• Establish engineering standards for scalability, security, observability, and resilience.
• Optimize performance, cost, and operational efficiency across data estates.

Skills

Leadership

Regulatory compliance

Data governance

NLP analytics

Architecture design

Tools

Databricks

Snowflake

Microsoft Fabric

Google BigQuery

Apache Iceberg

Delta Lake

Apache Hudi

Trino/Presto

Hive

SQL

BTEQ

Pandas

NumPy

Job description

Tangspac Consulting Group is seeking an experienced Lead Data Engineer for a financial institution in Singapore. You will lead the design and delivery of enterprise-scale data platforms supporting regulatory reporting, risk management, and analytics.

You will champion modern lakehouse architectures, govern unstructured data, and ensure AI outputs are traceable and compliant. Strong seniority is required with hands-on expertise in Databricks, Snowflake, and Python data tools.