Description

You will design and implement scalable data architectures that transform business strategies into sustainable technology solutions.

Responsibilities

• Design and implement scalable, high-performance data architectures and data pipelines.
• Create conceptual, logical, and physical data models (CDM, LDM, and PDM) specifically for the banking domain.
• Manage data migration from legacy systems and oversee data integration and ingestion patterns.
• Implement data governance frameworks, ensuring compliance with regulations and security principles.
• Optimize databases for efficient storage and retrieval and design data warehouses for analysis.
• Integrate data structures with upstream and downstream processes and systems.

Required Skills

• 10+ years of experience in data architecture design and implementation.
• Expertise in Data Modelling (CDM, LDM, and PDM).
• Proficiency with ETL processes and data integration patterns.
• Hands-on experience with Hadoop and HiveSpark.
• Working knowledge of cloud platforms including AWS, Azure, and GCP.
• Experience with data migration and warehouse design.
• Strong understanding of data governance, security principles, and compliance.
• Practical experience working within Agile methodologies like Scrum or Kanban.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Preferred Skills

• Domain experience in financial services, capital markets, or investment banking.
• Exposure to DevOps tools such as Jenkins and version control via Git.
• Experience using GitHub Copilot.

Key Skills

Education

Any Graduate