Senior Data Engineer

purview asia pacific pte. ltd.; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

purview asia pacific pte. ltd. is seeking a senior data architect to lead enterprise data modelling, architecture, and governance for banking and financial services data.

You will collaborate with business stakeholders, data engineers, and governance teams to define data requirements, ensure data quality, and enable data-driven decision making across the organization. The role covers conceptual, logical, and physical data models, data lineage, and modern data platforms, with emphasis on

Qualifications

• 10+ years of experience in data analysis/management/architecture roles.
• Experience in Banking/Financial Services or regulated institutions.
• Hands-on data modelling (conceptual, logical, physical).
• Experience with data warehouses, data lakes, and analytical platforms.
• Strong SQL and relational database knowledge.

Responsibilities

• Define and maintain data models for banking and enterprise platforms.
• Collaborate with stakeholders to define data requirements and improve data quality.
• Support data lineage, metadata management, and data governance.
• Enable data-driven decision making across the organization.

Skills

Data Analysis

Data Management

Data Modelling

Data Architecture

Stakeholder management

Tools

Erwin

Oracle

SQL Server

PostgreSQL

DB2

SQL

Job description

Roles & Responsibilities

• The ideal candidate will have extensive experience working with complex banking data across domains such as Customer, Accounts, Deposits, Loans, Payments, Cards, Transactions, Risk, Finance, Treasury, and Regulatory Reporting.

• The candidate will work closely with business stakeholders, data architects, technology teams, data engineers, and governance teams to define data requirements, develop enterprise data models, improve data quality, and enable reliable data-driven decision-making.

• The role requires a strong understanding of banking business processes combined with hands‑on expertise in conceptual, logical, and physical data modelling, data lineage, data integration, metadata management, and modern data architecture.

• Design and maintain Conceptual, Logical, and Physical Data Models for banking and enterprise data platforms.

Required Skills

• 10+ years of overall experience in Data Analysis, Data Management, Data Modelling, Data Architecture, or related roles.

• Significant experience within Banking, Financial Services, or regulated financial institutions.

• Strong hands‑on experience with Conceptual, Logical, and Physical Data Modelling.

• Strong knowledge of enterprise data architecture and data management principles.

Proven experience working on large-scale banking data transformation, modernization, migration, regulatory, or analytics programs.

• Strong experience in source-to-target mapping, data profiling, data lineage, data quality, and metadata management.

• Experience working with enterprise data warehouses, data marts, data lakes, and analytical platforms.

• Strong knowledge of relational databases and SQL.

• Ability to analyze complex business requirements and translate them into scalable data solutions.

Other Skills

• SQL

• Oracle / SQL Server / PostgreSQL / DB2 or equivalent relational databases

• Data modelling tools such as Erwin or other equivalent tools

• ETL / ELT concepts

• Data Lakes and Lakehouse architectures & Data governance.