Senior Data Engineer / Data Modeler

Accenture PLC; Singapore; Presencial; SGD 120.000 - 180.000; 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 and design banking data models aligned with industry standards.

You will mentor a team of engineers, own data strategy for major accounts, and drive adoption of modern data engineering practices, while ensuring delivery quality and strong client relationships.

Qualificações

• 8+ years in data engineering/data modeling with 3+ years in a leadership/architect role
• Experience with banking data environments, AML/KYC, regulatory reporting
• Strong communication skills for C-suite and stakeholders
• Proficiency with FSLDM, FIBO, and/or BIAN
• Ability to design data models for payments, lending, deposits, risk, and compliance

Responsabilidades

• Lead banking data model design using FSLDM, FIBO, and BIAN standards
• Architect enterprise data lakes and warehouse schemas
• Mentor 3-5 data engineers and modelers
• Govern data quality, metadata, and security
• Own client relationships and guide data modernization roadmaps
• Monitor platform costs, performance, and security across cloud platforms
• Drive innovation and establish best practices

Conhecimentos

Banking data modeling

Data modeling

Cloudera

Teradata

Snowflake

Databricks

Leadership

Regulatory data governance

Apache Spark

Delta Lake

Iceberg

Ferramentas

Apache Spark

Delta Lake

Iceberg

Descrição da vaga

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