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Accenture

Advises businesses and runs their technology

Senior Data Engineer / Data Modeler

Data Management +1Updated on Nov 11
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in data engineering, data architecture, or data modeling, including at least 3 years in a technical leadership or architect capacity; financial-services experience is preferred.
  • Strong banking data-modeling experience, including working knowledge of FSLDM, FIBO, and/or BIAN, and the ability to translate financial products and processes into enterprise data models.
  • Advanced knowledge of normalized, dimensional, and/or Data Vault modeling approaches.
  • Architecture or production engineering experience with Cloudera or Teradata, together with Snowflake or Databricks.
  • Experience delivering solutions in regulated financial environments, including data lineage, auditability, regulatory reporting, AML/KYC, and data-quality controls.
  • Ability to provide technical direction, mentor engineering teams, and govern solution quality.
  • Ability to explain complex data architecture and modeling decisions to technical and business audiences.

Responsibilities

  • Lead the design of enterprise banking data models using industry frameworks such as FSLDM, FIBO, and BIAN, covering payments, lending, deposits, risk, and compliance.
  • Architect modern data lakes, warehouses, lakehouses, schemas, and data integration frameworks for large-scale financial-services workloads.
  • Define technical architecture and engineering practices across Cloudera, Teradata, Snowflake, and Databricks platforms.
  • Provide technical leadership and mentorship to data engineers and modelers through design reviews, engineering standards, solution-quality oversight, and capability development.
  • Establish data-governance practices for metadata management, lineage, data quality, security, auditability, and regulatory requirements.
  • Partner with business and technology stakeholders to translate requirements into data architectures, models, and modernization roadmaps.
  • Drive platform performance, reliability, security, and cost optimization while evaluating emerging data technologies and engineering practices.

Desired Qualifications

  • Production experience applying multiple banking standards, particularly FSLDM/FIBO and BIAN.
  • Experience across traditional enterprise data platforms and modern cloud/lakehouse technologies.
  • Knowledge of Collibra, Alation, Erwin, PowerDesigner, or comparable governance and data-modeling tools.
  • Familiarity with Basel III, BCBS 239, GDPR, PSD2, or comparable financial-services data and regulatory requirements.
  • Hands-on experience with Apache Spark, Delta Lake, Apache Iceberg, cloud cost optimization, or FinOps practices.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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