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- Tasks: Lead enterprise data architecture and integration strategy across complex tech landscapes.
- Company: Dynamic company focused on innovative data solutions.
- Benefits: Competitive daily rate, hybrid work model, and opportunity for impactful projects.
- Why this job: Shape the future of data integration and architecture in a collaborative environment.
- Qualifications: Proven experience in data and integration architecture with strong Azure skills.
- Other info: Mentorship opportunities and involvement in cutting-edge technology initiatives.
We’re looking for a Data & Integration Architect to lead enterprise data architecture and integration strategy across a complex technology landscape. You’ll define standards, shape target-state architecture, and ensure data and systems (ERP, CRM, digital platforms, SaaS) work together securely, reliably, and at scale.
This role suits a senior architect who enjoys setting direction, influencing delivery teams, and translating business needs into robust, future-proof technical designs.
Key Responsibilities- Data Architecture
- Own enterprise data architecture (conceptual, logical, physical models)
- Define canonical data models, taxonomies, and governance frameworks
- Architect data platforms (Data Lake, Warehouse, MDM, Analytics)
- Enable MI/BI, AI/ML, and reporting through high-quality, well-managed data
- Define retention, lifecycle, archival, and purge strategies
- Integration Architecture
- Lead integration strategy (API-led, event-driven, batch)
- Define standards for APIs, messaging, ETL/ELT, and iPaaS platforms
- Design integrations across ERP, CRM, digital and SaaS systems
- Govern API management, security, versioning, and documentation
- Ensure integrations are scalable, observable, and resilient
- Security, Governance & Compliance
- Design secure-by-design data and integration patterns
- Support GDPR, DPIAs, data classification, lineage, and auditability
- Partner with InfoSec on access control, encryption, and privacy
- Solution Architecture & Delivery
- Produce solution designs, integration diagrams, data flows, and interfaces
- Review designs for alignment with enterprise standards
- Support RFPs, vendor selection, and buy-vs-build decisions
- Strategy & Leadership
- Own data and integration roadmaps
- Drive adoption of cloud-native, API-first, and DDD principles
- Act as trusted advisor across Sales, Finance, Operations, and Customer teams
- Mentor engineers and analysts on best practice
- Reduced integration complexity and technical debt
- Improved data quality, governance, and lineage visibility
- Consistent adoption of enterprise data and integration patterns
- Stable, secure platforms supporting analytics and MI
- Delivery of target-state architecture milestones
- Essential
- Proven experience as Data Architect / Integration Architect / Enterprise Architect
- Strong Azure experience (Data Lake, Synapse, Databricks, APIM, Logic Apps, Service Bus, Event Grid)
- Deep understanding of data modelling (relational, dimensional, canonical)
- Strong API and integration experience (REST, OpenAPI, GraphQL preferred, event streaming)
- Experience with ETL/ELT, iPaaS, Kafka/EventHub
- Solid knowledge of data governance, security, and GDPR
- Ability to produce clear architecture diagrams and documentation
- Desirable
- MDM, PIM/DAM, or data catalogue experience
- Large-scale transformation or integration modernisation programmes
- DDD, CQRS, event sourcing
- Architecting for AI/ML data needs
Rate and Details: £600-£700 per day, Outside IR35, 3 months, Hybrid with 3 days in the Solihull office.
Data And Integration Architect employer: Langham Recruitment
Contact Detail:
Langham Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data And Integration Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data architecture and integration. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and skills.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your past projects, especially those involving data modelling and integration strategies. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data And Integration Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data and Integration Architect role. Highlight your experience with data architecture, integration strategies, and any relevant technologies like Azure. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've led data architecture projects or influenced delivery teams in the past. Let us know your passion for data and integration!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your experience with data modelling, API design, and any tools you’ve used like Databricks or Logic Apps. We love seeing candidates who can clearly articulate their technical prowess.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Langham Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in data architecture concepts, especially around data lakes, warehouses, and governance frameworks. Brush up on your knowledge of Azure services like Synapse and Databricks, as these will likely come up during the interview.
✨Showcase Your Integration Strategy Skills
Be prepared to discuss your experience with API-led and event-driven integration strategies. Have examples ready that demonstrate how you've defined standards for APIs and managed integrations across various systems like ERP and CRM.
✨Demonstrate Leadership and Mentorship
This role requires influencing delivery teams and mentoring others. Think of specific instances where you’ve acted as a trusted advisor or led a team through a complex project. Highlight your ability to drive adoption of best practices in data and integration.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data modelling and integration patterns. Practice explaining your thought process behind designing secure and scalable architectures, and be ready to produce clear diagrams if asked.
