At a Glance
- Tasks: Design and manage data infrastructure while collaborating with tech and business teams.
- Company: Join Next, a leading FTSE-100 fashion retailer with over 35,000 employees.
- Benefits: Enjoy discounts, bonuses, on-site nursery, and flexible gym memberships.
- Why this job: Be part of innovative projects that shape the future of data in retail.
- Qualifications: Experience in enterprise-scale data platforms and strong problem-solving skills required.
- Other info: Work in a supportive environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Data Architect
Data Architects at Next work closely with the Next Architect teams to identify potential technology innovations, make recommendations that support business growth and drive efficiencies, align business requirements with Next strategy, and are responsible for designing, managing, and deploying an organisation’s data and analytics infrastructure. The position requires strong problem-solving skills, detailed knowledge of corporate and legal data standards, and an understanding of information systems. The Data Architect is also expected to plan and manage their own work efficiently.
About the Team
An Architect at Next Technology is an IT specialist with a focus on enterprise IT design, implementing complex solutions and specifying the design of services that support IT strategy, organisational roadmaps, and Next Technology Solutions standards.
About the Role
- Set technical direction and roadmap for the data platform (Data Engineering and Analytics) and provide technical leadership in collaboration with key technical and business stakeholders.
- Define, document, share (explain/present), and maintain solution architectures and high-level design patterns for the data platform in alignment with organisational goals and objectives.
- Own the creation of data best practices and standards in collaboration with technical stakeholders.
- Maintain a good high-level knowledge of data engineering principles, data science, and machine learning concepts.
- Share technical knowledge of the data platform with technical and business stakeholders.
- Work in collaboration with technical and business stakeholders to identify and define platform business requirements and convert these requirements into clear technology designs.
- Collaborate with Architects from other domains/areas to develop and evolve architecture practices within the organisation.
- Provide oversight of projects to ensure they conform to Next enterprise architecture principles, security standards, and non-functional requirements.
About You
- Excellent verbal communication and customer-facing skills.
- Takes initiative to advance own learning and professional development.
- Extensive experience building/designing enterprise-scale data platforms for data ingestion, data processing, data transformation, business intelligence, AI, and advanced analytics.
- Proven hands-on capability with relevant technology: Azure Platform, Azure Data Services, Databricks, Power BI, SQL DW, Snowflake, Big Query, and Advanced Analytics.
- Proven ability to understand low-level data engineering solutions and languages (Spark, MPP, Python, Delta, Parquet).
- Experience with Azure DevOps & CICD processes, software development lifecycle including infrastructure as code (Terraform).
- Understand data warehousing concepts, including dimensional modelling, star schema, data aggregation, and best practices for designing efficient and scalable data models.
- Excellent documentation and diagramming skills.
- Technical Cloud Certification preferred e.g., Azure, Amazon Web Services, or Google.
- Knowledge and experience of data processing patterns (ETL, ELT, Batch, Streaming).
About Us
You know Next, but did you know we’re a FTSE-100 retail company employing over 35,000 people across the UK and Ireland? We’re the UK’s 2nd largest fashion retailer and for Kidswear we’re the market leader. At the last count, we have over 500 stores, plus Next Online, and it’s now possible to buy online from over 70 countries around the world! So we’ve gone global!
About Some of Our Benefits
- 25% off most NEXT, MADE*, Lipsy*, Gap* and Victoria\’s Secret* products (*when purchased through NEXT).
- Company performance-based bonus.
- On-site Nursery available; OFSTED outstanding in all areas.
- 10% off most partner brands & up to 15% off Branded Beauty.
- Early VIP access to sale stock.
- Access to fantastic discounts at our Staff Shops.
- Restaurants with great food at amazing prices.
- Access to a digital GP and other free health and wellbeing services.
- Free on-site parking.
- Financial Wellbeing – Save, track, and enhance your financial wellbeing.
- Apprenticeship – Grow and develop on the job whilst gaining a qualification.
- Direct to Work – Discount online and instore, collect your items the next day for free from your place of work or local store.
- Support Networks – Access to Network Groups to empower and celebrate each other.
- Wellhub – Discounted flexible monthly gym memberships, with apps, PT sessions, and more.
Conditions apply to all benefits. These benefits are discretionary and subject to change.
We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email headoffice_careers@next.co.uk (please include \’Workplace Adjustments\’ in the subject line), or call us on 0116 284 2486 and leave a voicemail.
Job Info
- Job Identification: 68768
- Job Category: IT
- Posting Date: 12/20/2024, 03:42 PM
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Data Architect employer: NEXT Retail Ltd.
Contact Detail:
NEXT Retail Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Data Services and Databricks. Having hands-on experience or projects showcasing these tools can significantly boost your chances.
✨Tip Number 2
Network with current employees or professionals in similar roles through platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your problem-solving skills and how you've applied them in past projects. Be ready to share specific examples that demonstrate your ability to design and manage data architectures effectively.
✨Tip Number 4
Stay updated on the latest trends in data engineering and analytics. Being knowledgeable about emerging technologies and best practices will show your commitment to professional development and align with the company's goals.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Architect position. Familiarise yourself with the technologies mentioned in the job description, such as Azure Platform, Databricks, and SQL DW.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your hands-on capabilities with data platforms and any technical certifications you hold.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and your understanding of Next's business goals. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work collaboratively.
Showcase Communication Skills: Since excellent verbal communication is crucial for this role, consider including examples in your application that illustrate your ability to convey complex technical concepts to non-technical stakeholders.
How to prepare for a job interview at NEXT Retail Ltd.
✨Showcase Your Technical Expertise
Make sure to highlight your hands-on experience with relevant technologies like Azure, Databricks, and SQL DW. Be prepared to discuss specific projects where you've designed or implemented data platforms, as this will demonstrate your capability to meet the technical demands of the role.
✨Communicate Clearly and Effectively
Since excellent verbal communication is crucial for this position, practice explaining complex technical concepts in simple terms. This will help you connect with both technical and non-technical stakeholders during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to manage projects. Prepare examples from your past experiences where you successfully navigated challenges in data architecture or collaborated with cross-functional teams.
✨Demonstrate Your Continuous Learning
Show your initiative in advancing your own learning by discussing any recent certifications or courses you've completed, especially those related to cloud technologies or data engineering. This reflects your commitment to professional development, which is highly valued in this role.