Data Architect

Innova Solutions; Greater London; Hybrid; GBP 57,000 - 81,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Innova Solutions is seeking an experienced Data Architect to design and document enterprise data structures across relational and NoSQL platforms. The role involves collaboration with business stakeholders and engineering teams to define data models and integration patterns for large financial systems.

You will develop Domain, Conceptual, Logical, and Physical models, and ensure architecture governance, performance, and scalability across hybrid cloud environments.

Qualifications

• Strong experience in data architecture and enterprise data modelling.
• Domain driven design and CQRS implementation.
• Hands-on NoSQL/distributed database design with Cassandra and YugabyteDB.
• Relational database modelling with Oracle and PostgreSQL.
• Knowledge of data normalization and denormalization, and distributed data design.
• Ability to model Domain, Conceptual, Logical and Physical models.

Responsibilities

• Understand, analyse, and document enterprise data architectures for large financial systems.
• Collaborate with stakeholders to define enterprise data models and integration patterns.
• Develop and maintain domain, conceptual, logical and physical data models.
• Design scalable databases across relational and NoSQL platforms.
• Support data strategy initiatives and architecture governance reviews.
• Produce architecture docs, presentations, and artifacts for diverse audiences.
• Assess current systems and propose modernization or optimization opportunities.
• Ensure alignment with development and infrastructure implementations.
• Participate in data migration, integration, and transformation planning.

Skills

Data architecture

Enterprise data modelling

Domain-driven design

CQRS implementation

NoSQL design

Relational modelling

Data normalization

Data denormalization

Cloud & hybrid data

Tools

Oracle

PostgreSQL

Cassandra

YugabyteDB

ER/Studio

Hackolade

Job description

Data Architect

24 month contract

Inside IR35 - Paying up to £50 per hour via umbrella.

Location: Hybrid - 3 days per week in office in London or Sussex

We are seeking an experienced, Data Architect who is able to understand, document, and create enterprise data structures across both traditional relational database platforms and modern distributed NoSQL environments.

Responsibilities will include:

• Understand, analyse, and document existing and target-state data architectures for large financial systems.
• Collaborate with business stakeholders, architects, application teams, and engineering leads to define enterprise data models and integration patterns.
• Develop and maintain: Domain models, Conceptual data models, Logical data models and Physical data models
• Design scalable and high-performance database solutions across, Relational databases (Oracle/PostgreSQL) and Distributed NoSQL platforms (Cassandra/YugabyteDB)
• Support enterprise-wide data strategy initiatives and contribute to architecture governance reviews.
• Produce architecture documentation, presentations, and technical artifacts for both technical and non-technical audiences.
• Assess current-state systems and recommend modernization or optimization opportunities.
• Work closely with development and infrastructure teams to ensure implementation aligns with architectural guidelines.
• Participate in data migration, integration, and transformation planning activities.
• Support performance, scalability, resiliency, and disaster recovery considerations within data architecture designs.

You will need:

• Strong experience in data architecture and enterprise data modelling.
• Domain driven design
• CQRS implementation
• Strong hands-on experience with NoSQL/distributed database design, with Cassandra and YugabyteDB
• Deep expertise in relational database design and modelling with DBMS Technologies such as, Oracle and PostgreSQL
• Solid understanding of, Data normalization and denormalization and Distributed data design
• Experience creating, Domain models, Conceptual models, Logical models, and Physical models
• Hands-on experience with data modelling tools such as, ER/Studio and Hackolade
• Strong knowledge of enterprise integration and data governance principles.
• Familiarity with cloud and hybrid data architectures is advantageous.