Senior Data Engineer / Data Modeler – Banking

About the role

A Senior Data Engineer / Data Modeler is sought to lead data platform initiatives across enterprise financial services clients. The role covers architecting and governing large-scale data solutions on cloud platforms, designing complex banking data models to industry standards, mentoring a team of engineers and driving adoption of modern data engineering practices. It combines technical leadership with client advisory, owning data strategy for major accounts and being accountable for delivery and quality.

Key responsibilities

• Lead banking data model design using FSLDM, FIBO and BIAN standards, translating financial business concepts into normalized and dimensional schemas
• Architect data platforms: design enterprise data lakes, warehouse schemas and ETL frameworks for critical banking and financial systems
• Mentor 3-5 data engineers and modelers, drive code reviews, design decisions and capability building
• Govern data quality and security: design metadata management, data lineage and governance frameworks for regulated environments
• Advise clients on data modernization and turn business requirements into technical roadmaps aligned with banking standards
• Monitor costs, performance and security across Snowflake, Databricks, Cloudera and Teradata
• Evaluate new tools, establish best practices and share knowledge across teams

Required profile

• 8+ years in data engineering or data modeling, with 3+ years in a leadership or architect role in financial services
• Proven experience managing and mentoring teams
• Experience in a banking or highly regulated financial data environment, including AML/KYC, regulatory reporting, data lineage and audit trails
• Strong communication skills, able to present to C-suite executives, business stakeholders and technical teams

Required skills

• Banking data modeling with FSLDM, FIBO and/or BIAN; dimensional, normalized and data vault schemas
• Cloudera or Teradata, and Snowflake or Databricks
• Preferred: hands-on experience with both FSLDM/FIBO and BIAN, and with both Cloudera/Teradata and Snowflake/Databricks
• Preferred: data governance tools such as Collibra, Alation or custom metadata frameworks; Erwin, PowerDesigner or cloud-native modeling tools
• Preferred: knowledge of PSD2, GDPR, Basel III and BCBS 239; Apache Spark, Delta Lake, Iceberg; cloud cost optimization and FinOps