Description

You will architect and lead enterprise data solutions, focusing on scalable applications, data lineage, and risk remediation.

This role is on-site.

Responsibilities

• Lead the design and implementation of scalable, data-heavy enterprise applications.
• Develop and maintain data models ensuring complete data lineage across the lifecycle.
• Build processes for integrating data from various channels, including batch and on-demand sources.
• Identify, manage, and remediate IT risk and technical debt.
• Develop Gen AI capabilities to source, integrate, and create data assets.

Required Skills

• 8+ years of experience as a Data Architect, specifically focused on enterprise risk and controls.
• 5+ years of experience building Greenfield data solutions from scratch.
• 7+ years delivering self-serve solutions using on-prem and cloud capabilities.
• 7+ years in back-end development and ETL experience integrating enterprise data providers.
• Expertise in ETL and BI tools.
• Proficiency in Python, Bash, and Shell scripting.
• Experience with Ops Risk, Financial Crimes, and GRC Solutions.
• Strong knowledge of risk and control datasets.

Key Skills

Education

Any Graduate