Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data architecture while collaborating with stakeholders on technical solutions.
- Company: Join Evolution HTD, a leader in building data capabilities for the insurance sector.
- Benefits: Enjoy hybrid work, ongoing training, and mentorship from industry experts.
- Why this job: Gain hands-on experience with dynamic data projects and enhance your skills in a supportive environment.
- Qualifications: 3+ years as a Data Architect; strong knowledge of data modeling and proficiency in Databricks and Azure.
- Other info: Opportunity for permanent hire after a 2-year commitment.
The predicted salary is between 43200 - 72000 £ per year.
Job Title: Data Architect
Location: Hybrid, London
Starting Salary: Competitive
About Us: Evolution HTD is an innovative hire, train, deploy organisation headquartered in Warrington, UK. We specialise in building data capabilities within the insurance sector. Our HTD Programme is a fixed 2-year commitment between Evolution and the data consultant, where customers have the option to hire the consultant permanently at the end of the agreed deployment period.
Why Evolution: Dynamic Data Opportunities: Immerse yourself in hands-on experiences working directly with data projects for one or more organisations within our impressive client portfolio. Tackle challenging data visualisation projects that will enhance your skills, broaden your network, and equip you with the tools to excel in data analysis and deployment.
Ongoing Data Learning: Your journey begins with intensive training in data technologies, but the learning is continuous. Over several years, you will engage in ongoing education, obtaining industry-recognised qualifications tailored to your abilities, including Data Analysis, Data Visualisation, Advanced Analytical Techniques, and more.
Mentoring and Coaching: Thrive under the guidance of our seasoned data experts and Technical Trainers. Leverage their expertise to advance your career path in the data field.
Job Description: Data Architect
Key Responsibilities:
- Design, develop, and maintain data architecture aligned with business requirements.
- Develop and implement data models (e.g., star schemas, facts and dimensions) to facilitate efficient data storage and access.
- Contribute to a data mesh architecture with a focus on domain-driven design and data domain concepts.
- Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
- Provide guidance on best practices for data structure, modelling, and architecture to ensure high-quality outputs.
- Support the data platform team in optimising Databricks and Azure stack technologies for operational efficiency.
- Ensure data architectures support the organisation’s data democratisation goals.
- Participate in stakeholder discussions to align technical implementations with strategic objectives.
Skills and Experience Required:
Experience: Minimum of 3 years as a Data Architect or similar role.
Technical Expertise:
- Strong knowledge of data modelling techniques (e.g., star schemas, facts, and dimensions).
- Proficiency in Databricks and the Azure data stack (e.g., Azure Synapse, Azure Data Factory).
- Familiarity with data mesh principles and domain-oriented data design.
- Experience with data governance and accessibility strategies.
Stakeholder Management: Ability to communicate effectively with technical and non-technical stakeholders.
Problem-Solving: Demonstrated ability to design scalable, efficient, and innovative data solutions.
Soft Skills: Strong autonomy, initiative, and ability to execute with minimal supervision while collaborating within a team framework.
#J-18808-Ljbffr
Data Architect employer: Evolution
Contact Detail:
Evolution Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarize yourself with the specific data technologies mentioned in the job description, especially Databricks and the Azure data stack. Having hands-on experience or projects that showcase your proficiency in these tools will make you stand out.
✨Tip Number 2
Engage with the data community by attending meetups or webinars focused on data architecture and governance. Networking with professionals in the field can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with data modelling techniques, particularly star schemas and domain-driven design. Be ready to share specific examples of how you've implemented these concepts in past projects.
✨Tip Number 4
Showcase your problem-solving skills by preparing case studies or scenarios where you've designed scalable data solutions. This will demonstrate your ability to think critically and innovate in the data space.
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. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Technical Skills: Emphasize your technical expertise in data modelling techniques, Databricks, and Azure stack technologies. Provide specific examples of how you've applied these skills in previous roles.
Showcase Problem-Solving Abilities: Include examples in your application that demonstrate your problem-solving skills and ability to design scalable data solutions. This will help illustrate your capability to tackle the challenges mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and the company. Mention why you are particularly interested in Evolution HTD and how you can contribute to their data initiatives.
How to prepare for a job interview at Evolution
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data modelling techniques, particularly star schemas and dimensions. Highlight specific projects where you've successfully implemented these concepts, especially in relation to Databricks and the Azure data stack.
✨Demonstrate Stakeholder Communication Skills
Since the role involves collaborating with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Prepare examples of how you've effectively communicated with different audiences in past roles.
✨Emphasize Problem-Solving Abilities
Think of scenarios where you've designed innovative data solutions. Be ready to walk through your thought process and the steps you took to overcome challenges, showcasing your ability to think critically and creatively.
✨Align with Company Values
Research Evolution HTD's commitment to ongoing learning and data democratisation. Be ready to discuss how your personal values align with theirs and how you can contribute to their mission of building data capabilities within the insurance sector.
