Description

You will lead enterprise data architecture and data warehousing strategy, designing scalable data models and high-performance engineering solutions for the banking domain.

This role is hybrid.

Responsibilities

• Lead cloud engineering and data integration programs, deploying business solutions on AWS.
• Build end-to-end data engineering pipelines using DevOps practices and GitLab CI/CD.
• Implement data governance frameworks, risk controls, and secure coding standards.
• Translate business requirements into data solutions with strategic thinking and cross-functional collaboration.
• Enable advanced analytics, data mining, and ML/MLOps capabilities for digital transformation.

Required Skills

• 15+ years of experience in data architecture and data warehousing.
• Strong expertise in AWS cloud platform and data engineering.
• Hands-on experience with GitLab and CI/CD pipelines.
• Proven track record in MLOps and machine learning operations.
• Experience with data governance, risk controls, and compliance.
• Ability to design scalable data models and database structures.
• Strong business acumen and strategic planning skills.

Preferred Skills

• Background in banking domain solutions.
• Experience collaborating with C-level executives (CTO, CSO, CDA).

Key Skills

Education

Any Gradute