Our methodology
We design and implement data architecture that enables scalable, secure, and insight-ready enterprise data ecosystems. Our data architecture consulting services are tailored to meet your specific needs, whether you’re modernising infrastructure, scaling analytics capabilities, or preparing for cloud migration.
This is how we build architectures that last.
1. Discovery and Landscape Mapping
2. Architecture Design and Strategic Blueprinting
3. Cloud Platform Alignment
4. Data Transformations and Pipeline Engineering
5. Governance, Metadata, and Enablement
6. Delivery and Change Support
Use cases for modern data architecture
Preparing for Cloud Migration
Organisations moving to cloud platforms like Azure, AWS, or GCP need a scalable data architecture that reduces technical debt and aligns with cloud-native services. We help you design a future-ready architecture that supports migration with minimal disruption and maximum value.
Enabling Enterprise-Wide Analytics
When data lives in silos, it becomes difficult to generate timely insights. We build architectures that unify data sources, improve governance, and enable secure access, so analytics teams can spend less time wrangling data and more time unlocking insight.
Modernising Legacy Systems
Outdated data infrastructure creates friction, cost, and risk. Whether you're running on monolithic platforms or disconnected tools, we help you modernise your architecture to improve performance, integration, and resilience, without starting from scratch.
Supporting AI and Machine Learning Initiatives
Successful AI and ML depend on clean, well-structured data. We architect environments that support automated data transformations, feature stores, model training, and governance, creating a strong foundation for advanced analytics at scale.
Improving Data Governance and Compliance
With regulations like GDPR, CCPA, and industry-specific standards tightening, data governance is no longer optional. We embed governance, lineage, and access control into your architecture so you can confidently manage risk while enabling responsible innovation.
Accelerating Mergers, Acquisitions or Reorgs
Rapid organisational change often leads to fragmented data environments. We design architectures that bring structure to chaos: Integrating systems, aligning models, and providing clarity during transitional periods.
Our approach
We're here to help
Our data architecture consultants work with you to design modern data architecture that supports performance, security, and compliance. From refining data processes to strengthening data governance, we help businesses build a future-ready foundation for your big data needs.
Committed to your success
Robust data architecture is the backbone of any modern data ecosystem. We design scalable, flexible frameworks that support your data strategy, enable efficient operations, and prepare you for future growth.
Our approach ensures that your data flows securely and efficiently between systems, users, and tools. From integrating legacy platforms to building cloud-native environments, we create architectures that unlock performance and simplify complexity.
Services include data modelling, platform design, storage and integration strategies, cloud architecture, pipeline development, and performance optimisation. We work across a range of technologies to design fit-for-purpose solutions that scale with your business.
Start the conversation
Let’s work together to build a data architecture that supports your vision and drives results.
Contact us today to explore how our data architecture services can support your digital transformation.
What our client said
Case studies
Case Study
Taco Bell
Optimising Redshift workload and reporting performance for financial dashboards.
per month saved
faster reports
Case Study
iRobot – A Global Consumer Robot Company
Automating the platform infrastructure.
Case Study
A leading biopharmaceutical company
Developing automated CI/CD pipelines to enhance deployment efficiency and reliability.
CI/CD pipelines deployed
adherence to key compliance standards
FAQs
Data architecture defines how your enterprise data is structured, stored, integrated, and accessed. It acts as the foundation for data-driven decision-making, enabling analytics, automation, governance, and regulatory compliance. Without it, data becomes fragmented, hard to trust, and costly to manage.
Yes, we specialise in data integration, ensuring your data warehouse, data lake, and data flow processes work seamlessly for better scalability and performance.
Strong data governance ensures your data architecture services meet compliance requirements, improve data quality, and enable secure, well-managed access to critical information.
We take a data strategy-driven approach, ensuring your data architecture supports your business objectives, data analytics capabilities, and long-term scalability.
Yes, our data architecture consultants can assess and refine existing data architecture solutions, optimising for efficiency, security, and cost-effectiveness.
Any industry that relies on data management, advanced analytics, or large-scale data processing can benefit from well-structured data architecture. Sectors like finance, healthcare, retail, and manufacturing all depend on secure, efficient, and scalable data systems to drive business success.
We’re platform-agnostic. Whether you’re fully cloud-native, operating a hybrid model, or working within on-prem constraints, we design architectures that are secure, scalable, and aligned to your infrastructure. We work with all major cloud platforms, including Azure, AWS, and GCP.
Yes. Our teams are used to integrating with in-house architects, engineers, analysts, and delivery teams. We’re here to augment your capability, not duplicate it, and ensure your architecture is embedded, adopted, and resilient.
Contact us
Reach out to discover how we can help drive your success.
Who we are
Explore how our culture and expertise fuel digital innovation.