Senior Data Modelling Architect - Banking & Analytics

Global Software Solutions Group; Abu Dhabi; On-site; AED 360,000 - 700,000; Full time

Job summary

Global Software Solutions Group seeks an experienced Data Architect to analyze and improve data models, building an organizational data model linking to financial institutions. You will reduce redundancy, enable data migration and facilitate data retrieval, aligning with regulatory requirements.

The role collaborates with data scientists and DBAs to design critical data models that support decision making and customer experience, while maintaining data integrity across systems and platforms.

Qualifications

• Bachelor's degree in a related field.
• Minimum 10+ years in data architecture and data modelling.
• Experience with financial services data and banking systems.
• Knowledge of DB technologies such as Snowflake, RDBMS or HDFS.
• Ability to influence at all levels and communicate clearly.
• Data certification such as CMDP or CIMP is a plus.

Responsibilities

• Define conceptual, logical and physical data models to support core data.
• Develop core data model in the Enterprise Data Management platform with data quality and security.
• Develop modelling standards.
• Oversee development of conceptual models for banks tech platforms (data lake and analytics).
• Maintain knowledge of banking regulations and data practices.
• Train BSD staff to use and understand data platforms and processes.
• Be the ambassador in internal and external customer transactions and communications.

Skills

Data Modeling

Data Architecture

Financial Services

Communication Skills

Education

Bachelor's degree

Tools

Snowflake

RDBMS

HDFS

Star Schemas

Job description

Global Software Solutions Group seeks an experienced Data Architect to analyze and improve data models, building an organizational data model linking to financial institutions. You will reduce redundancy, enable data migration and facilitate data retrieval, aligning with regulatory requirements.

The role collaborates with data scientists and DBAs to design critical data models that support decision making and customer experience, while maintaining data integrity across systems and platforms.