Data Architect in Burgess Hill

Data Architect in Burgess Hill

Burgess Hill Full-Time 72000 - 88000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and govern data structures for financial services transformation.
  • Company: Join a leading financial services firm with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with cross-functional teams and engage with senior stakeholders.
  • Why this job: Make a significant impact on data architecture in a dynamic environment.
  • Qualifications: Experience as a Data Architect with expertise in GCP and relational databases.

The predicted salary is between 72000 - 88000 Β£ per year.

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.

Candidate Profile & Requirements

  • 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.

Data Architect in Burgess Hill employer: Infinity Quest

As a Senior SAP Consultant at our company, you will thrive in a dynamic and supportive remote work environment that prioritises employee growth and development. We offer competitive benefits, a collaborative culture, and opportunities to lead innovative projects that make a real impact on our clients' success. Join us to advance your career while working with cutting-edge technologies and a team of dedicated professionals committed to excellence.

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Contact Details:

Infinity Quest Recruitment Team

We think you need these skills to ace Data Architect in Burgess Hill

Data Modelling
Google Cloud Platform (GCP)
Oracle
PostgreSQL
Apache Cassandra
YugabyteDB
Normalization/Denormalization