Data Architect

Data Architect

Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Shape and deliver Data & AI strategies while aligning with business goals.
  • Company: Join a diverse team focused on transformative data solutions across multiple domains.
  • Benefits: Enjoy hybrid work options and a role that directly impacts business transformation.
  • Why this job: Be part of cutting-edge initiatives with high visibility and influence in a supportive environment.
  • Qualifications: Experience in delivering scalable architecture and strong data governance skills required.
  • Other info: We value diversity and welcome applicants from all backgrounds.

The predicted salary is between 36000 - 60000 Β£ per year.

Data Architect We\’re seeking a visionary Data Architect to join our client\’s dynamic and high-performing architecture team. This role leads Data & AI initiatives across multiple business domains and drives enterprise-wide innovation. This role offers Hybrid working – Enjoy flexibility with 2–3 days on-site at either Bury St Edmunds or Burton-on-Trent.Reporting to the Lead Data Architect , you\’ll be instrumental in shaping and executing the organisation\’s Data & AI strategy. You\’ll collaborate across IT and business functions to design scalable, future-ready data architecture that supports major transformation programmes.Key Responsibilities Lead the design and delivery of Data & AI architecture across strategic change programmesAlign solutions with enterprise principles, standards, and methodologies to support a data-driven cultureBuild and maintain architecture assets that meet governance, regulatory, and performance requirementsTranslate business needs into data requirements and provisioning strategies for consistency and usabilityCollaborate with Data Stewards, Analysts, and SMEs to define and ratify reference data and hierarchiesEnsure data definitions and models are aligned and embedded across transformation initiativesSeniority level Mid-Senior levelEmployment type Full-timeJob function Information TechnologyIndustries Technology, Information and Media

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Data Architect employer: Sanderson

Join a forward-thinking company that prioritises innovation and inclusivity, offering a hybrid work model that allows you to balance remote work with on-site collaboration in Bury St Edmunds or Burton-on-Trent. As a Data Architect, you'll play a pivotal role in transformative Data & AI initiatives, with ample opportunities for professional growth and development in a supportive environment that values diverse perspectives.
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Contact Detail:

Sanderson Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Architect

✨Tip Number 1

Familiarise yourself with the latest trends in Data Architecture and AI. Being able to discuss current technologies and methodologies during your interview will show that you're not only knowledgeable but also passionate about the field.

✨Tip Number 2

Prepare to showcase your experience with data models and ETL processes. Have specific examples ready that demonstrate how you've successfully implemented data solutions in previous roles, as this will highlight your hands-on expertise.

✨Tip Number 3

Network with professionals in the Data Architecture space. Engaging with industry peers can provide insights into the company culture and expectations, which can be invaluable during your interview.

✨Tip Number 4

Be prepared to discuss how you align data strategies with business goals. Think of examples where you've collaborated with stakeholders to bridge the gap between technical and business needs, as this is crucial for the role.

We think you need these skills to ace Data Architect

Data Modelling
ETL Processes
Data Integration
Data Migration
Data Governance
Enterprise Architecture
Analytical Skills
Cloud Data Solutions
SQL and NoSQL Databases
Big Data Technologies
Data Warehousing
Collaboration Skills
Problem-Solving Skills
Technical Documentation
Compliance Knowledge

Some tips for your application 🫑

Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Architect. Familiarise yourself with key concepts like data governance, ETL processes, and data modelling to tailor your application effectively.

Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in delivering scalable data architecture solutions. Use specific examples that demonstrate your ability to align business objectives with data strategies.

Showcase Technical Skills: List relevant technical skills such as proficiency in data modelling tools, ETL technologies, and any programming languages you are familiar with. This will help you stand out as a qualified candidate for the role.

Tailor Your Application: Customise your cover letter to reflect your understanding of the company's Data & AI initiatives. Mention how your vision aligns with their goals and how you can contribute to their transformative projects.

How to prepare for a job interview at Sanderson

✨Understand the Role

Make sure you have a clear understanding of what a Data Architect does. Familiarise yourself with key responsibilities such as data modelling, ETL processes, and aligning architecture with business goals. This will help you answer questions confidently and demonstrate your knowledge.

✨Showcase Your Experience

Prepare to discuss specific projects where you've successfully implemented data solutions. Highlight your experience in developing data models and how you've ensured compliance with governance standards. Real-world examples will make your answers more compelling.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's data strategy and how they envision the role of a Data Architect contributing to their goals. This shows your genuine interest in the position and helps you assess if the company aligns with your career aspirations.

✨Demonstrate Collaboration Skills

Since the role involves working closely with both technical teams and business stakeholders, be ready to discuss how you've successfully collaborated in the past. Share examples of how you've bridged gaps between technical and non-technical teams to achieve project success.

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