6 дней назад
Senior Data Engineer / Data Modeler (Banking Data)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
Senior Data Engineer / Data Modeler (Banking Data): Architecting enterprise data platforms and complex banking data models for financial services clients with an accent on FSLDM, FIBO, BIAN, cloud platforms, and regulated data governance. Focus on designing scalable schemas and ETL frameworks, mentoring data engineering teams, optimizing platform operations, and translating banking requirements into technical roadmaps.
Location: Singapore; On-Site
Company
is a global professional services company delivering technology, cloud, data, AI, consulting, operations, and industry solutions for organizations in more than 120 countries.
What you will do
- Lead enterprise banking data model design using FSLDM, FIBO, and BIAN, translating financial concepts into normalized and dimensional schemas.
- Architect data lakes, warehouse schemas, and ETL frameworks for mission-critical banking and financial systems.
- Mentor 3–5 data engineers and modelers, lead code reviews, make design decisions, and build technical capabilities.
- Design metadata management, data lineage, data quality, security, and governance frameworks for regulated environments.
- Advise financial services clients on data modernization strategies and technical roadmaps aligned with banking standards.
- Monitor cost, performance, and security across Snowflake, Databricks, Cloudera, and Teradata, while evaluating tools and establishing engineering best practices.
Requirements
- Advanced banking data modeling expertise, including FSLDM, FIBO, and/or BIAN, with the ability to model payments, lending, deposits, risk, and compliance use cases.
- Advanced data modeling experience covering complex dimensional, normalized, and data vault schemas.
- Deep operational and architectural knowledge of Cloudera or Teradata, plus production deployment, tuning, and governance experience with Snowflake or Databricks.
- 8+ years of data engineering or data modeling experience, including 3+ years in a leadership or architect role within financial services.
- Proven experience managing and mentoring technical teams.
- Experience in banking or highly regulated financial data environments, including AML/KYC, regulatory reporting, data lineage, and audit trails.
- Strong communication skills and the ability to present to C-suite executives, business stakeholders, and technical teams.
Nice to have
- Production experience with both FSLDM/FIBO and BIAN standards.
- Experience with both Cloudera/Teradata and Snowflake/Databricks.
- Advanced data governance experience with Collibra, Alation, or custom metadata frameworks.
- Experience with Erwin, PowerDesigner, or cloud-native data modeling tools.
- Knowledge of PSD2, GDPR, Basel III, and BCBS 239 data requirements.
- Hands-on experience with Apache Spark, Delta Lake, or Iceberg.
- Cloud cost optimization and FinOps experience.
Culture & Benefits
- Full-time, on-site position in Singapore.
- Work in a global professional services environment focused on technology, innovation, shared success, and measurable client value.
- Collaborate across cloud, data, AI, consulting, operations, and industry-focused delivery capabilities.
- Equal employment opportunity and a commitment to an inclusive, diverse workplace.
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