Description

You will architect, design, and implement data platforms supporting banking analytics and regulatory workloads.

• Architect, design, and implement Snowflake-based data platforms for analytics, risk modeling, and reporting.
• Build and maintain data models and transformations adhering to financial data standards.
• Design and optimize ETL/ELT pipelines using IBM DataStage, ensuring data quality and auditability.
• Lead dimensional and relational data modeling for financial datasets (customer, transactions, AML/KYC, etc.).
• Partner with risk, compliance, and finance teams to translate business requirements into data solutions.

• 8+ years of experience in Data Architecture.
• Hands-on expertise with Snowflake and dbt.
• Strong SQL expertise, specifically modeling banking/financial datasets.
• Experience with data governance frameworks, metadata management, and data quality controls in finance.
• Knowledge of compliance and regulatory expectations in banking (data level).
• Proficiency with IBM DataStage.
• Ability to work effectively in highly structured, risk-controlled environments.
• Excellent communication skills with technical and business teams.

Key Skills

Education

Any Gradute