Data Architect

at  ITDS Business Consultants

JOIN US, AND SHAPE THE FUTURE OF RISK AND COMPLIANCE DATA ARCHITECTURE!

Krakow-based opportunity with the possibility to work 80% remotely!
As a Data Architect, you will be working for our client, a major financial institution focused on enhancing its Governance Risk and Control systems. You will play a crucial role in designing and optimizing scalable data architectures to support Model Risk Management (MRM) and Enterprise Risk Management (ERM) systems. You will collaborate with cross-functional teams to ensure data-driven decision-making, integration of data sources, and alignment with business objectives, while maintaining high standards of data integrity, accuracy, and security.

YOUR MAIN RESPONSIBILITIES:

• Designing scalable, secure data architectures to meet business and risk management needs
• Developing conceptual, logical, and physical data models
• Collaborating with business analysts to gather and define data requirements
• Ensuring data models support real-time, near-real-time, and batch data processing
• Integrating data from various platforms into refineries for analysis and reporting
• Maintaining high standards of data integrity, accuracy, and consistency
• Providing training and guidance on data models and architecture to other teams
• Documenting data architectures with clear Solution Design Documents and data dictionaries
• Implementing best practices for data modeling, including naming conventions and version control
• Reviewing and ensuring approval of data architectures in relevant forums

YOU’RE IDEAL FOR THIS ROLE IF YOU HAVE:

• Proven experience in data architecture and modeling
• Proficiency with data modeling tools such as Visual Paradigm
• Strong knowledge of relational (SQL) and non-relational (NoSQL) database systems
• Familiarity with ETL processes and data integration tools
• Experience with cloud-based (GCP, AWS, Azure), on-premises, and hybrid architectures
• Excellent problem-solving and analytical skills
• Strong communication and documentation abilities
• Ability to work effectively with both technical and non-technical teams
• Experience working with enterprise-level software development
• Understanding of real-time and batch data processing environments