Data architect

Serve as the bridge between business, solution architecture, and engineering teams to design, define, and govern the data architecture for a modernized financial services platform.

• Business Understanding: Analyze and translate card, payment, billing, and broader financial business processes into comprehensive data requirements.

• Data Architecture Design: Architect target-state enterprise data structures from scratch, including data models (domain, conceptual, logical, physical), data flows, data ownership, and integration patterns.

• Technology Selection: Evaluate and decide on appropriate data technologies (RDBMS, NoSQL, distributed/cloud databases) and design for use cases such as real-time and event-driven systems.

• Collaboration: Work closely with solution architects, developers, and business stakeholders to define and challenge architectural decisions, ensuring alignment with business needs and technical best practices.

• Architecture Governance: Own the data architecture through its lifecycle, including establishing data standards, modelling conventions, governance principles, and documentation; participate in architecture reviews and support enterprise-wide data strategy.

• Documentation & Communication: Produce clear, comprehensive architecture documentation and presentations for both technical and non-technical audiences; articulate complex technical concepts effectively.

• System Assessment & Modernization: Assess current-state systems, recommend modernization/optimization opportunities, and support data migration, integration, and transformation planning.

• Performance & Resiliency: Design scalable, high-performance, resilient, and disaster recovery-ready data solutions, considering partitioning, replication, and high availability.

Proven track record in enterprise data architecture and modelling (relational and NoSQL/distributed systems).

• Strong experience with financial services, capital markets, or investment banking environments.
• Expertise with Domain Driven Design, CQRS, and data governance.
• Hands-on experience with RDBMS (Oracle, PostgreSQL), NoSQL (Cassandra, YugabyteDB), and data modelling tools (ER/Studio, Hackolade).

• Familiarity with cloud/hybrid architectures is advantageous.

• Soft Skills:
• Excellent English communication and presentation skills.
• Strong stakeholder engagement and documentation capabilities.
• Ability to independently handle ambiguous business problems and deliver scalable data solutions.
• Collaborative mindset, analytical thinking, and robust problem-solving abilities., Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.
• Experience in large-scale enterprise transformation programs and data governance frameworks.
• Financial industry or architecture certifications are a plus.