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For Companies At a Glance
- Tasks: Design and evolve our data ecosystem for analytics and strategic decision-making.
- Company: Join a forward-thinking organisation focused on data innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data management and make a real impact.
- Qualifications: Experience in data architecture and strong communication skills required.
- Other info: Collaborative environment with excellent career advancement potential.
The predicted salary is between 60000 - 80000 ÂŁ per year.
The Data Architect is responsible for designing, governing, and evolving the organisation’s data ecosystem, ensuring that data from business applications is integrated, structured, and made available for analytics, reporting, and strategic decision‑making. This role provides technical leadership across data integration, data warehousing, and BI platforms, ensuring data is accurate, secure, and optimised for performance. Working closely with business stakeholders, solution architects, and development teams, the Data Architect shapes the organisation’s data strategy and drives best‑practice data management.
Key Responsibilities
- Data Architecture & Strategy
- Define and maintain the enterprise data architecture, including data models, integration patterns, and data flows across business systems.
- Develop and evolve the organisation’s data warehousing and BI strategy, ensuring alignment with business needs and long‑term scalability.
- Ensure solutions align with enterprise architecture principles, security standards, and regulatory requirements.
- Establish standards for data modelling, metadata, master data, and data governance.
- Collaborate with stakeholders to define functional and non‑functional requirements, understanding stakeholder pain points and strategic priorities.
- Translate business needs into clear technical designs and solution options.
- Act as a trusted advisor to senior stakeholders, providing guidance on feasibility, risks, and trade‑offs.
- Data Integration
- Design and oversee data integration solutions using APIs, ETL/ELT pipelines, middleware, and modern integration platforms.
- Ensure data from business applications (ERP, CRM, HR, etc.) is ingested reliably, consistently, and securely.
- Optimise data pipelines for performance, resilience, and maintainability.
- Data Warehousing & Storage
- Architect and maintain enterprise data warehouses, data marts, and analytical data stores.
- Define logical and physical data models that support reporting, analytics, and self‑service BI.
- Ensure data structures support both operational and strategic reporting needs.
- Business Intelligence & Analytics Enablement
- Partner with BI developers and analysts to design semantic models, datasets, and reporting structures.
- Ensure BI platforms (e.g., Power BI, Tableau) are fed with high‑quality, well‑structured data.
- Promote self‑service analytics through robust data models, documentation, and governance.
- Governance, Quality & Security
- Implement data quality frameworks, validation rules, and monitoring processes.
- Ensure compliance with data protection, security, and regulatory requirements.
- Maintain documentation, data dictionaries, lineage diagrams, and architectural artefacts.
- Collaboration & Leadership
- Work closely with solution architects to ensure application and data architectures are aligned.
- Advise business stakeholders on data feasibility, risks, and opportunities.
- Provide technical leadership to data engineers, BI developers, and integration specialists.
- Contribute to architectural governance forums and change advisory boards.
- Conduct design reviews, risk assessments, and impact analyses.
Essential Skills & Experience
- Proven experience as a Data Architect, Senior Data Engineer, or similar role in an enterprise environment.
- Strong expertise in data integration technologies (ETL/ELT tools, APIs, iPaaS, event‑driven architectures).
- Hands‑on experience with data warehousing platforms with strong understanding of relational and dimensional modelling, star/snowflake schemas, and semantic layers.
- Experience working with BI platforms such as Power BI, Tableau, or Qlik.
- Solid understanding of data governance, data quality, and metadata management.
- Ability to translate complex data concepts into business‑friendly language.
- Strong stakeholder management and communication skills.
Desirable Skills
- Experience with Azure data services (e.g., Data Factory, Synapse, Databricks, SQL MI).
- Knowledge of MDM frameworks and data cataloguing tools.
- Understanding of DevOps, CI/CD, and automation for data pipelines.
- Exposure to data security frameworks and regulatory standards.
- Familiarity with DevOps practices, CI/CD pipelines, and automation tooling.
Data Architect employer: Colt Technology Services
Contact Detail:
Colt Technology Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data world, attend meetups, and join online forums. The more people you know, the better your chances of landing that Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, including any cool integrations or BI solutions you've worked on. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled data challenges in the past and how you can help shape their data strategy.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes it easier for us to find your application and get back to you quickly.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data integration, warehousing, and BI platforms. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our data strategy. Keep it engaging and relevant to the role.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in data integration technologies and BI platforms. We love seeing hands-on experience, so be specific about the tools and frameworks you've worked with.
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 any important updates from us!
How to prepare for a job interview at Colt Technology Services
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in data architecture principles, including data models and integration patterns. Brush up on your knowledge of ETL/ELT processes and how they apply to the role, as this will show your technical expertise and readiness to tackle the challenges ahead.
✨Speak Their Language
When discussing complex data concepts, remember to translate them into business-friendly language. This will demonstrate your ability to communicate effectively with stakeholders and ensure that everyone is on the same page regarding data strategies and solutions.
✨Showcase Your Collaboration Skills
Be prepared to discuss examples of how you’ve worked closely with cross-functional teams, such as BI developers and solution architects. Highlight your experience in advising stakeholders and driving best practices in data management, as collaboration is key in this role.
✨Prepare for Technical Questions
Expect to face technical questions related to data integration technologies and BI platforms. Brush up on your hands-on experience with tools like Power BI or Tableau, and be ready to discuss how you’ve optimised data pipelines for performance and security in previous roles.