£360 Per day
Inside
Remote
London
Summary: The Data Architect role involves leading the transformation of enterprise data architecture within the financial services sector. The position requires expertise in both traditional relational databases and modern NoSQL technologies, focusing on designing scalable and resilient data solutions. The architect will collaborate with various stakeholders to establish data governance and standards while driving the enterprise data strategy. This high-impact role is essential for modernizing data practices and ensuring future readiness.
Key Responsibilities:
- Lead the discovery, analysis, and documentation of current and future-state enterprise data architectures.
- Design and deliver enterprise-wide data models, including Domain Models, Conceptual Models, Logical Models, and Physical Models.
- Architect high-performance data solutions across Oracle, PostgreSQL, Cassandra, YugabyteDB, and on-premise and cloud environments.
- Define data standards, governance frameworks, modelling conventions, and metadata strategies.
- Drive enterprise data strategy and contribute to architecture governance boards.
- Collaborate closely with architects, engineering teams, business stakeholders, and delivery leads.
- Assess Legacy platforms and recommend modernisation and optimisation opportunities.
- Support data migration, integration, transformation, scalability, resiliency, and disaster recovery initiatives.
- Produce clear architecture artefacts and presentations for both technical and executive audiences.
Key Skills:
- Proven experience as a Data Architect within complex enterprise environments.
- Deep expertise in relational database design and modelling: Oracle, PostgreSQL.
- Strong hands-on experience with distributed NoSQL platforms: Cassandra, YugabyteDB.
- Advanced knowledge of data modelling best practices, data normalisation and denormalisation, distributed data architecture, partitioning and replication strategies, and high-availability and scalability patterns.
- Experience creating enterprise-level domain, conceptual, logical, and physical data models.
- Expertise with data modelling tools, ideally ER/Studio and Hackolade.
- Strong understanding of enterprise integration, metadata management, and data governance.
- Exposure to cloud and hybrid data platforms is highly desirable.
Salary (Rate): £360 per day
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
We're looking for an experienced Data Architect to join a major transformation initiative within financial services. This is a high-impact role where you'll define and modernise enterprise data architecture across both traditional relational platforms and cutting-edge distributed NoSQL technologies.
You'll be the authority on data modelling, architecture standards, and governance, partnering with senior business and technology stakeholders to design scalable, resilient, and future-ready data solutions.
What You'll Be Doing- Lead the discovery, analysis, and documentation of current and future-state enterprise data architectures.
- Design and deliver enterprise-wide data models, including:
- Domain Models
- Conceptual Models
- Logical Models
- Physical Models
- Architect high-performance data solutions across:
- Oracle
- PostgreSQL
- Cassandra
- YugabyteDB
- On-premise and cloud environments
- Define data standards, governance frameworks, modelling conventions, and metadata strategies.
- Drive enterprise data strategy and contribute to architecture governance boards.
- Collaborate closely with architects, engineering teams, business stakeholders, and delivery leads.
- Assess Legacy platforms and recommend modernisation and optimisation opportunities.
- Support data migration, integration, transformation, scalability, resiliency, and disaster recovery initiatives.
- Produce clear architecture artefacts and presentations for both technical and executive audiences.
What We're Looking For
Technical Expertise
- Proven experience as a Data Architect within complex enterprise environments.
- Deep expertise in relational database design and modelling:
- Oracle
- PostgreSQL
- Strong hands-on experience with distributedNoSQL platforms:
- Cassandra
- YugabyteDB
- Advanced knowledge of:
- Data modelling best practices
- Data normalisation and denormalisation
- Distributed data architecture
- Partitioning and replication strategies
- High-availability and scalability patterns
- Experience creating enterprise-level domain, conceptual, logical, and physical data models.
- Expertise with data modelling tools, ideally:
- ER/Studio
- Hackolade
- Strong understanding of enterprise integration, metadata management, and data governance.
- Exposure to cloud and hybrid data platforms is highly desirable.
Financial Services Experience
We're particularly interested in candidates who have worked within:
- Financial Services
- Capital Markets
- Investment Banking
- Trading Platforms
- Risk & Regulatory Technology
*Rates depend on experience and client requirements