Description

You will design and build scalable data architectures, pipelines, and governance frameworks for financial risk and fraud analytics.

This role is on-site.

Responsibilities

• Architect and implement data warehouses, lakes, and lakehouse solutions.
• Design scalable batch and real-time data pipelines.
• Enforce data governance, quality, security, and lineage standards.
• Lead data modeling and architecture decisions for risk and AML systems.
• Collaborate with stakeholders on data strategy and technical leadership.

Required Skills

• 5+ years of experience in Data Engineering and Data Architecture.
• Strong proficiency in Python.
• Expertise in Data Architecture and Data Modeling.
• Experience with Databricks.
• Knowledge of Cloud Computing (AWS, Azure, or GCP).
• Understanding of Big Data technologies.
• Experience in Fraud, Risk, AML, KYC, or Transaction Monitoring domains.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• Experience with complex data lineage and security implementations.

Key Skills

Education

Bachelor's degree