Infinity Quest
Data Architect
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Job Title: Data Architect – Financial Services
Location: Burgess Hill, West Sussex, UK (Hybrid – 3 days/week on-site)
Employment Type: Full-time, Permanent / Fixed-Term Contract
About the Role
We are seeking an experienced Data Architect to join a high-impact, enterprise-scale financial services transformation initiative. In this role, you will be instrumental in analyzing, designing, and governing data structures across hybrid cloud ecosystems, bridging traditional enterprise relational platforms with high-throughput, distributed NoSQL environments.
You will collaborate directly with cross-functional engineering leads, enterprise architects, and business stakeholders to design scalable, resilient, and well-governed data architectures that support mission-critical financial applications.
Key Responsibilities
- Data Modelling: Develop and maintain domain, conceptual, logical, and physical data models for core financial domains.
- Architecture Strategy: Lead end-to-end data architecture design on Google Cloud Platform (GCP) and hybrid environments, ensuring high availability, performance, and disaster recovery.
- Hybrid Storage Ecosystems: Architect robust solutions across enterprise relational systems (Oracle, PostgreSQL) and distributed NoSQL platforms (Cassandra, YugabyteDB).
- Governance & Standards: Establish data modeling conventions, governance principles, metadata standards, and integration patterns across the enterprise.
- Modernization & Migration: Evaluate current-state architectures, recommend optimization paths, and support migration strategies to modern cloud-native architectures.
- Stakeholder Alignment: Translate complex business requirements into clear technical designs and architectural artifacts for technical and non-technical audiences alike.
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Candidate Profile & Requirements
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- Core Experience: Proven track record as a Data Architect or Enterprise Data Architect delivering large-scale data transformation initiatives.
- Cloud Expertise: Strong hands-on architectural experience with Google Cloud Platform (GCP) data solutions.
- Database Depth: Deep technical knowledge of:
- Relational platforms: Oracle and PostgreSQL
- Distributed NoSQL engines: Apache Cassandra and YugabyteDB
- Data Modelling Acumen: Strong proficiency in normalization/denormalization, distributed partitioning, and replication strategies; hands-on familiarity with tools such as ER/Studio or Hackolade is highly advantageous.
- Domain Knowledge: Prior background within Financial Services, Banking, Capital Markets, FinTech, or Transactional Systems.
- Communication: Exceptional communication and presentation skills, with demonstrated success managing senior stakeholder relationships.
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