Description

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

This role is on-site.

Responsibilities

• Architect and implement Snowflake-based data platforms for analytics and reporting.
• Design and optimize ETL/ELT pipelines using IBM DataStage to ensure data quality and auditability.
• Build and maintain dimensional and relational data models for financial datasets including AML/KYC.
• Partner with risk, compliance, and finance teams to translate business requirements into technical data solutions.

Required Skills

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

Preferred Skills

• Python programming for data processing.
• Understanding of Cloud Security principles.

Key Skills

Education

Any Gradute