Data Architect

Data Architect

Full-Time No home office possible
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At a Glance

  • Tasks: Design and deliver enterprise-wide data architecture for a leading consultancy.
  • Company: Join a top consultancy with a focus on innovative data solutions.
  • Benefits: Competitive daily rate, hybrid work model, and long-term contract.
  • Why this job: Shape the future of data architecture and drive impactful organisational outcomes.
  • Qualifications: Experience in data modelling and strong analytical skills required.
  • Other info: Collaborative environment with opportunities to engage with senior stakeholders.

We are seeking an experienced Data Architect to join a leading consultancy on a 24-month contract. You will drive the design, governance, and delivery of enterprise-wide data architecture, ensuring data assets are resilient, scalable, and aligned with business and regulatory requirements.

You will work with cross-functional teams to define future-state data capabilities, integrate systems, and support data governance initiatives that enable strategic organisational outcomes.

Key Responsibilities:
  • Develop and maintain enterprise-level conceptual, logical, and physical data models
  • Define and evolve enterprise data architecture standards, principles, patterns, and best practices
  • Collaborate with product teams and solution architects to design integrated, end-to-end data flows
  • Maintain enterprise data dictionaries, taxonomies, and metadata repositories
  • Perform oversight and quality assurance on data architecture artefacts and reverse-engineered data structures
  • Provide data architecture input into enterprise and solution architecture to ensure consistent outcomes across programmes
Skills and Experience:
  • Hands-on experience in enterprise-level data modelling using tools such as Erwin, Solidatus, Safyr, ABACUS, or Archi
  • Strong analytical, logical, and lateral thinking skills to solve complex data challenges
  • Knowledge of relational, dimensional, and enterprise modelling concepts, including cloud and big data environments
  • Experience with SQL, data analytics platforms, APIs, and database technologies
  • Familiarity with Software Delivery Lifecycle (Agile and Waterfall) and software engineering principles
  • Excellent communication skills, able to engage technical and non-technical senior stakeholders

Data Architect employer: Intec Select Ltd

Join a leading consultancy as a Data Architect and experience a dynamic work culture that values innovation and collaboration. With a competitive day rate and a hybrid working arrangement, you will have the opportunity to work in vibrant cities like London, Leeds, or Edinburgh, while contributing to impactful data architecture projects. The company prioritises employee growth through continuous learning and development, making it an excellent employer for those seeking meaningful and rewarding career advancement.
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Contact Detail:

Intec Select Ltd 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 architecture field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.

✨Tip Number 2

Get your portfolio ready! Showcase your previous projects and data models you've worked on. Having a solid portfolio can really set you apart during interviews and give you something tangible to discuss.

✨Tip Number 3

Practice your pitch! Be prepared to explain your experience and how it aligns with the role of a Data Architect. Focus on your problem-solving skills and how you've tackled complex data challenges in the past.

✨Tip Number 4

Apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.

We think you need these skills to ace Data Architect

Data Modelling
Enterprise Data Architecture
Data Governance
Analytical Skills
Logical Thinking
Lateral Thinking
SQL
Data Analytics Platforms
APIs
Database Technologies
Software Delivery Lifecycle (Agile and Waterfall)
Communication Skills
Collaboration
Quality Assurance

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with enterprise-level data modelling and any relevant tools you've used. 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 the perfect fit for this role. Mention your hands-on experience and how you can contribute to our data architecture goals.

Showcase Your Technical Skills: Don’t forget to showcase your technical skills in SQL, data analytics platforms, and any cloud or big data environments you've worked with. We love seeing candidates who can hit the ground running!

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!

How to prepare for a job interview at Intec Select Ltd

✨Know Your Data Models

Make sure you brush up on your enterprise-level data modelling skills. Be ready to discuss your experience with tools like Erwin or Solidatus, and how you've applied them in real-world scenarios. This will show that you’re not just familiar with the concepts but have practical knowledge too.

✨Understand the Business Context

It's crucial to understand how data architecture aligns with business goals. Research the company’s industry and think about how effective data governance can drive strategic outcomes. This will help you articulate your vision during the interview.

✨Prepare for Technical Questions

Expect to face some technical questions related to SQL, APIs, and database technologies. Brush up on your knowledge of relational and dimensional modelling concepts, and be prepared to solve a few data challenges on the spot. Practice makes perfect!

✨Engage with Stakeholders

Since excellent communication is key, think about examples where you've successfully engaged with both technical and non-technical stakeholders. Prepare to share how you’ve navigated complex discussions and ensured everyone was on the same page regarding data architecture.

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