Data Engineer / Data Modeler

Accenture; Singapore; Presencial; SGD 180.000 - 260.000; Tempo integral

Resumo da vaga

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

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Banking Data Modeling

FSLDM

FIBO

BIAN

Data Modeling

Cloudera

Teradata

Snowflake

Databricks

Data Quality & Governance

Data Lineage

Leadership

Ferramentas

Erwin

PowerDesigner

Collibra

Alation

Apache Spark

Delta Lake

Iceberg

Descrição da vaga

About the Role

We are seeking 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 using cloud platforms (Cloudera, Teradata, Snowflake, Databricks), design complex banking data models aligned to industry standards (FSLDM, FIBO, BIAN), mentor a team of engineers, and drive adoption of modern data engineering practices. This role bridges technical leadership and client advisory — you’ll own data strategy for major accounts and be accountable for delivery and quality.

Key Responsibilities

• Lead banking data model design — design enterprise data models using FSLDM (Financial Services Logical Data Model), FIBO (Financial Industry Business Ontology), and BIAN (Banking Industry Architecture Network) standards; translate complex financial business concepts into normalized/dimensional schemas
• Architect data platforms — design enterprise data lakes, warehouse schemas, and ETL frameworks for mission-critical banking and financial systems
• Manage technical teams — mentor 3–5 data engineers and modelers; drive code reviews, design decisions, and capability building
• Govern data quality & security — design metadata management, data lineage, and governance frameworks for regulated financial environments
• Own client relationships — advise on data modernization strategies, translate business requirements into technical roadmaps aligned with banking standards
• Optimize platform operations — monitor costs, performance, and security across cloud platforms (Snowflake, Databricks, Cloudera, Teradata)
• Drive innovation — evaluate new tools, establish best practices, share knowledge across teams

Required Qualifications

• Advanced proficiency in: Banking Data Modeling — experience with FSLDM, FIBO, and/or BIAN frameworks; ability to design data models for banking use cases (payments, lending, deposits, risk, compliance)Data Modeling for complex schemas (dimensional, normalized, data vault) Cloudera OR Teradata — deep operational and architectural knowledge Snowflake OR Databricks — production deployment, tuning, governance
• 8+ years in data engineering/data modeling, with 3+ years in a leadership/architect role in financial services
• Proven experience managing and mentoring teams
• Banking or highly regulated financial data environment experience — deep familiarity with compliance (AML/KYC), regulatory reporting, data lineage, audit trails
• Strong communication skills — comfortable presenting to C-suite, business stakeholders, and technical teams

Recommended Skills

• Hands-on expertise with both FSLDM/FIBO AND BIAN standards in production environments
• Experience with both Cloudera/Teradata AND Snowflake/Databricks
• Advanced data governance — Collibra, Alation, or custom metadata frameworks
• Data modeling tools — Erwin, PowerDesigner, or cloud-native modeling tools
• Banking domain knowledge: PSD2, GDPR, Basel III, BCBS 239 data requirements
• Hands-on work with Apache Spark, Delta Lake, Iceberg
• Cloud cost optimization and FinOps

What We’re Looking For

• Strategic thinker — sees beyond individual projects to platform-wide implications and banking standards alignment
• Banking domain expert — understands financial products, processes, and regulatory requirements
• Mentor & leader — enjoys developing talent and setting technical direction
• Problem solver — navigates ambiguity in complex financial data environments
• Standards advocate — champions FSLDM/FIBO/BIAN adoption; helps teams understand "why" behind the model