Data Architect (Financial Services)
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Job Summary (Data Architect Financial Services Transformation)
- Serve as a Data Architect for a large-scale financial services transformation project.
- Design, document, and architect enterprise data structures across both RDBMS (Oracle/PostgreSQL) and modern distributed NoSQL platforms (Cassandra, YugabyteDB).
- Apply Domain Driven Design and CQRS architectural patterns to financial data systems.
- Collaborate with business and technology stakeholders to define scalable, resilient, and governed data solutions.
- Develop and maintain domain, conceptual, logical, and physical data models.
- Define and enforce data standards, modeling conventions, and governance principles.
- Assess, modernize, and optimize current-state data architectures.
- Support enterprise data strategy initiatives and contribute to architecture governance.
- Produce comprehensive technical documentation and presentations for varied audiences.
- Participate in planning for data migration, integration, and transformation.
- Ensure performance, scalability, resiliency, and disaster recovery in data architecture design.
- Leverage strong technical skills in data modeling, normalization, distributed data, and integration.
- Utilize data modeling tools (e.g., ER/Studio, Hackolade).
- Communicate complex concepts clearly to technical and non-technical stakeholders.
- Work independently and collaboratively in a fast-paced, enterprise environment.
- Preferably experienced in financial services, capital markets, investment banking, or regulatory/risk systems.
- Bachelor's or Master's degree in Computer Science or related field required; certifications and large-program experience are a plus.
- Serve as a Data Architect for a large-scale financial services transformation project.
- Design, document, and architect enterprise data structures across both RDBMS (Oracle/PostgreSQL) and modern distributed NoSQL platforms (Cassandra, YugabyteDB).
- Apply Domain Driven Design and CQRS architectural patterns to financial data systems.
- Collaborate with business and technology stakeholders to define scalable, resilient, and governed data solutions.
- Develop and maintain domain, conceptual, logical, and physical data models.
- Define and enforce data standards, modeling conventions, and governance principles.
- Assess, modernize, and optimize current-state data architectures.
- Support enterprise data strategy initiatives and contribute to architecture governance.
- Produce comprehensive technical documentation and presentations for varied audiences.
- Participate in planning for data migration, integration, and transformation.
- Ensure performance, scalability, resiliency, and disaster recovery in data architecture design.
- Leverage strong technical skills in data modeling, normalization, distributed data, and integration.
- Utilize data modeling tools (e.g., ER/Studio, Hackolade).
- Communicate complex concepts clearly to technical and non-technical stakeholders.
- Work independently and collaboratively in a fast-paced, enterprise environment.
- Preferably experienced in financial services, capital markets, investment banking, or regulatory/risk systems.
- Bachelor's or Master's degree in Computer Science or related field required; certifications and large-program experience are a plus.