Data Architect

We are seeking an experienced Data Architect to design, govern, and evolve the enterprise data architecture, playing a crucial role in enabling data-driven decision-making and supporting digital transformation initiatives within the banking sector.

Responsibilities

• Design and maintain enterprise data architecture, including conceptual, logical, and physical data models.
• Define and implement data strategies, standards, and best practices aligned with business and technology objectives.
• Architect scalable data platforms, including data warehouses, data lakes, and real-time data processing solutions.
• Collaborate with business and technical teams to understand data requirements and translate them into architectural solutions.
• Establish and enforce data governance, metadata management, and data quality frameworks.
• Design data integration frameworks and oversee data flows across core banking systems, digital channels, and third-party platforms.
• Provide technical guidance to data engineering and development teams on data modeling, integration, and platform optimization.
• Evaluate emerging technologies and recommend improvements to enhance the organization's data capabilities.
• Support analytics, reporting, and AI/ML initiatives by ensuring the availability of reliable and well-structured data assets.
• Create and maintain architecture documentation, standards, and roadmaps for enterprise data initiatives.
  
  

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• At least 2 years of experience in data architecture, data engineering, or related data management roles.
• Strong experience in designing enterprise data models and data integration architectures.
• Experience with relational and non-relational databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB).
• Hands-on experience with data warehouses, data lakes, ETL/ELT frameworks, and cloud-based data platforms.
• Proficiency in SQL and a solid understanding of data lifecycle management principles.
• Familiarity with data governance, master data management, metadata management, and data quality practices.
• Understanding of data security, privacy, and regulatory requirements in highly regulated industries, preferably banking or financial services.
• Experience with cloud platforms such as AWS, Azure, or GCP is an advantage.
• Excellent stakeholder management, communication, and problem-solving skills.
  
  

Preferred Qualifications

• Relevant certifications in cloud, data architecture, or enterprise architecture.
• Banking, fintech, or financial services industry experience.
• Experience supporting enterprise analytics, business intelligence, and digital transformation initiatives.
• Exposure to modern data architectures, real-time data streaming, and API-driven data integrations.
• Familiarity with enterprise architecture frameworks and data governance programs.