Thrive IT Systems
Data Architect Financial Services
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About the Role
Understand, analyze, and document existing and target state data architectures for large financial systems.
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Collaborate with business stakeholders, architects, application teams, and engineering leads to define enterprise data models and integration patterns.
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Develop and maintain:
- Domain models
- Conceptual data models
- Logical data models
- Physical data models
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Design scalable and high-performance database solutions across:
- Relational databases: Oracle, PostgreSQL
- Distributed NoSQL platforms: Cassandra, YugabyteDB
- Solutions on-prem or on the Cloud
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Define data standards, modelling conventions, governance principles, and metadata documentation.
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Support enterprise-wide data strategy initiatives and contribute to architecture governance reviews.
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Produce architecture documentation, presentations, and technical artifacts for both technical and non-technical audiences.
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Assess current state systems and recommend modernization or optimization opportunities.
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Work closely with development and infrastructure teams to ensure implementation aligns with architectural guidelines.
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Participate in data migration, integration, and transformation planning activities.
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Support performance, scalability, resiliency, and disaster recovery considerations within data architecture designs.
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Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related discipline.
- Experience working on large enterprise transformation programs.
- Exposure to data governance and enterprise architecture frameworks.
- Financial industry certifications or architecture certifications are a plus.
Required Skills
Technical Skills
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Strong experience in data architecture and enterprise data modelling.
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Deep expertise in relational database design and modelling: Oracle, PostgreSQL.
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Strong hands-on experience with NoSQL distributed databases: Cassandra, YugabyteDB.
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Solid understanding of:
- Data normalization and denormalization.
- Distributed data design.
- Data partitioning and replication strategies.
- High availability and scalability patterns.
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Experience creating:
- Domain models
- Conceptual models
- Logical models
- Physical models
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Hands-on experience with data modelling tools such as ERStudio (preferred) and Hackolade (preferred).
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Strong knowledge of enterprise integration and data governance principles.
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Familiarity with cloud and hybrid data architectures is advantageous.
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Functional Domain Experience
- Experience working within Financial services, Capital markets, Investment banking, Trading platforms, Risk, or regulatory environments.
- Strong understanding of financial data domains and transactional systems preferred.
Communication & Soft Skills
- Excellent English communication skills: written and verbal.
- Strong presentation and stakeholder engagement capabilities.
- Ability to communicate complex technical concepts clearly to both business and technical audiences.
- Strong analytical and documentation skills.
- Ability to work independently in a fast-paced enterprise environment.
- Collaborative mindset with strong problem-solving capabilities.
Preferred Skills
- Experience working on large enterprise transformation programs.
- Exposure to data governance and enterprise architecture frameworks.
- Financial industry certifications or architecture certifications are a plus.
Skills: Data Architecture, GCP Data Architecture
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