Senior Banking Data Engineer & Data Modeler

Accenture PLC; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Accenture PLC in Singapore seeks a Senior Data Engineer / Data Modeler to lead data platform initiatives across enterprise financial services clients. You will architect and govern large-scale data solutions on cloud platforms such as Snowflake, Databricks, Cloudera, Teradata, and shape banking data models aligned to FSLDM, FIBO, and BIAN.

You will mentor a team of engineers, drive data modernization, governance, and client advisory, optimize platform operations, monitor costs, and ensure

Qualifications

• Experience designing data models for banking use cases (payments, lending, deposits, risk, compliance).
• 8+ years in data engineering/data modeling with 3+ years in leadership/architect roles in financial services.
• Experience with AML/KYC, regulatory reporting, data lineage, and audit trails.
• Strong communication skills for C-suite and stakeholders.

Responsibilities

• Lead data model design and govern enterprise data models using FSLDM, FIBO, and BIAN.
• Architect enterprise data lakes and warehouse schemas with ETL frameworks.
• Mentor 3–5 engineers, perform code reviews and architecture decisions.
• Ensure data quality, metadata management, and governance for regulated environments.
• Manage client relationships and advise on data modernization strategies.

Skills

Banking Data Modeling

FSLDM

FIBO

BIAN

Data Modeling

Cloudera

Teradata

Snowflake

Databricks

Data Quality & Governance

Data Lineage

Leadership

Tools

Erwin

PowerDesigner

Collibra

Alation

Apache Spark

Delta Lake

Iceberg

Job description

Accenture PLC in Singapore seeks a Senior Data Engineer / Data Modeler to lead data platform initiatives across enterprise financial services clients. You will architect and govern large-scale data solutions on cloud platforms such as Snowflake, Databricks, Cloudera, Teradata, and shape banking data models aligned to FSLDM, FIBO, and BIAN.

You will mentor a team of engineers, drive data modernization, governance, and client advisory, optimize platform operations, monitor costs, and ensure