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- Tasks: Lead the design and governance of scalable data architectures for analytics.
- Company: Join a forward-thinking company focused on data-driven decision-making.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth.
- Why this job: Be at the forefront of data strategy, impacting business decisions and driving innovation.
- Qualifications: 3+ years in data architecture with strong skills in data modeling and visualization tools.
- Other info: Work in a fully remote, agile environment with a collaborative team.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for an experienced Analytics Architect to lead the design and governance of scalable, high-performance data architectures. This role requires strong expertise in developing and managing conceptual, logical, and physical data models, while ensuring the architecture meets current and future business needs. The successful candidate will define standards, monitor performance and scalability, and work closely with business and data teams to implement a unified data strategy.
The Analytics Architect will oversee the Data Warehouse, serving as the central source for corporate data and analytics. They will also support data-driven initiatives across the organization, ensuring data quality, compliance, and secure access controls are in place, enabling informed decision-making.
- Expertise in various data architectures (Warehouse, Lakehouse, Data Mesh) and physical data modeling approaches like Kimball, with experience leading data architecture strategy and implementation.
- 3+ years of experience managing and evolving data models, working with commercial data warehouses, ETL tools, and data visualization platforms (e.g., Redshift, Looker, Tableau).
- Strong communication and collaboration skills, with the ability to present technical concepts to non-technical audiences and lead multi-department analytics projects.
- Bachelor’s or Master’s degree in a technical discipline, proficiency with Git, and the ability to work effectively in a fully remote, agile environment.
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Analytics Data Architect employer: Artifeks Ltd
Contact Detail:
Artifeks Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Data Architect
✨Tip Number 1
Familiarize yourself with the specific data architectures mentioned in the job description, such as Warehouse, Lakehouse, and Data Mesh. Understanding these concepts will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Brush up on your knowledge of physical data modeling approaches like Kimball. Being able to discuss these methodologies confidently can set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your experience with commercial data warehouses and ETL tools. Think of specific projects where you successfully managed data models or implemented data strategies, as these examples will resonate well during discussions.
✨Tip Number 4
Since strong communication skills are emphasized, practice explaining complex technical concepts in simple terms. This will help you connect with non-technical stakeholders and demonstrate your ability to lead multi-department analytics projects.
We think you need these skills to ace Analytics Data Architect
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of the Analytics Data Architect position. Highlight your relevant experience in data architecture, data modeling, and analytics in your application.
Tailor Your CV: Customize your CV to emphasize your expertise in developing and managing data models, as well as your experience with data warehouses and ETL tools. Make sure to include specific examples of projects where you led data architecture strategy.
Craft a Compelling Cover Letter: Write a cover letter that showcases your communication skills and ability to present technical concepts to non-technical audiences. Discuss how your background aligns with the company's goals and how you can contribute to their data-driven initiatives.
Highlight Collaboration Experience: In your application, mention any experience you have working in cross-departmental teams or leading multi-department analytics projects. This will demonstrate your strong collaboration skills, which are essential for this role.
How to prepare for a job interview at Artifeks Ltd
✨Showcase Your Data Architecture Expertise
Be prepared to discuss your experience with various data architectures like Warehouse, Lakehouse, and Data Mesh. Highlight specific projects where you led the design and implementation of data models, and be ready to explain how these architectures met business needs.
✨Demonstrate Your Communication Skills
Since this role requires presenting technical concepts to non-technical audiences, practice explaining complex data architecture topics in simple terms. Use examples from your past experiences to illustrate how you effectively communicated with different stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in managing data models or ensuring data quality, and prepare to discuss how you approached these situations and what the outcomes were.
✨Familiarize Yourself with Tools and Technologies
Make sure you are well-versed in the tools mentioned in the job description, such as Redshift, Looker, and Tableau. Be ready to discuss your hands-on experience with these platforms and how you've used them to drive data-driven initiatives.
