• Develop and maintain conceptual, logical, and physical data models to support different domains of payment processing system.
• Ensure data models are optimized for performance, scalability, and maintainability.
• Create data flow diagrams and entity-relationship diagrams (ERDs) to represent data structures and relationships.

• Collaborate with business analysts, software engineers, product, and other stakeholders to gather and analyze data requirements.
• Translate business requirements into data models that support payment transactions, card issuance, and other related financial services.

• Establish and enforce data modeling standards and best practices.
• Work with data engineers to implement data validation and cleansing processes to ensure accuracy and integrity.
• Work with data engineers to conduct regular data quality assessments and implement corrective actions as needed.

• Work with data engineers/analysts to analyze and optimize database performance to handle high volumes of transactions efficiently.
• Work with data engineers/analysts to implement indexing, partitioning, and other performance-enhancing techniques.

• Document data models, data dictionaries, and metadata for transparency and ease of use.
• Provide clear and concise communication to technical and non-technical stakeholders regarding data architecture and design decisions related to data models.

• Ensure data models comply with industry standards, regulatory requirements, and security protocols.

• Stay up-to-date with industry trends, emerging technologies, and best practices in data modeling, customer account management, and payment processing.
• Proactively identify opportunities for process improvements and implement innovative solutions.

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
• Proven experience as a Data Modeler in the payments industry, particularly with issuer processors.
• Strong understanding of payment processing systems, customer account management, card issuance and other related financial services.
• Proficiency in data modeling tools such as ERwin, Power Designer, or similar.
• Experience with relational and No SQL databases (e.g., Oracle, SQL Server, Mongo DB).
• Familiarity with data warehousing, ELT processes, and modern data architecture (Lakehouse).
• Strong analytical, problem-solving, and communication skills.
• Familiarity with regulatory requirements and security standards in the financial industry.
• Familiarity with cloud-based data warehouse solutions such as Snowflake, Redshift etc.

• Competitive salary aligning with industry benchmarks
• 25 days paid vacation
• Premium private health insurance coverage
• Sports benefits subscription
• $500 dedicated self-development budget
• Meal tickets
• 25 Lei lunch budget when working from the office
• Friendly office atmosphere
• Diverse client portfolio
• Cutting-edge high-tech stack
• Fintech Expertise: expertise in machine learning, data science, big data, and AI, driving innovation and cutting-edge solutions
• Continuous Learning Culture and Support