Data Architect

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.