Snowflake Data Architect

Snowflake Data Architect

Full-Time 95000 - 95000 € / year (est.) No home office possible
Adecco

At a Glance

  • Tasks: Shape and deliver a modern enterprise data platform using Snowflake.
  • Company: Join a forward-thinking company in Wembley, London.
  • Benefits: Competitive salary up to £95,000 plus benefits.
  • Other info: Fully on-site role with opportunities for career growth.
  • Why this job: Be at the forefront of data transformation and innovation.
  • Qualifications: Experience with Snowflake and data architecture best practices required.

The predicted salary is between 95000 - 95000 € per year.

Location: Wembley, London - FULLY ON-SITE

Salary: Up to 95,000 + Benefits

We are seeking an experienced Snowflake Data Architect to play a pivotal role in shaping and delivering a modern enterprise data platform. This is an opportunity to join a business undergoing significant data transformation, moving from legacy systems and manual processes to a scalable, automated, cloud-first architecture. You will be responsible for defining architectural standards, driving best practices, and enabling engineering teams to deliver high-quality, trusted data products that support analytics, reporting, and emerging AI initiatives.

Key Responsibilities

  • Define and own enterprise-wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks.
  • Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL-based systems, ensuring robust reconciliation, auditability, and incremental data loading capabilities.
  • Architect modern data pipelines leveraging Snowflake and orchestration technologies, ensuring reliability, scalability, idempotency, and effective error handling.
  • Establish and govern security models across the data platform, including role-based access control (RBAC), dynamic masking, row-level security, and environment segregation.
  • Drive platform performance optimisation and cost management.

Snowflake Data Architect employer: Adecco

Join a forward-thinking company in Wembley, London, where your expertise as a Snowflake Data Architect will be valued and rewarded. With a strong focus on employee growth, we offer a collaborative work culture that encourages innovation and continuous learning, alongside competitive benefits and a salary of up to £95,000. Experience the unique advantage of being part of a significant data transformation journey, where your contributions will directly impact the future of our enterprise data platform.

Adecco

Contact Detail:

Adecco Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Snowflake Data Architect

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Snowflake Data Architect role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your previous projects and experiences with Snowflake and data architecture. This gives potential employers a taste of what you can bring to the table, making you stand out from the crowd.

Tip Number 3

Prepare for those interviews! Brush up on common questions related to data modelling standards and integration architectures. We recommend practising with a friend or even in front of the mirror to boost your confidence.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Snowflake Data Architect

Snowflake
Data Modelling Standards
Data Vault
Semantic Layers
Star Schema Patterns
Governance Frameworks
Integration Architectures

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Snowflake Data Architect role. Highlight your experience with data modelling standards and cloud architectures, as these are key for us. Use specific examples that showcase your skills in designing scalable data solutions.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data transformation and how you can contribute to our journey. Mention any relevant projects you've worked on, especially those involving Snowflake or similar technologies.

Showcase Your Technical Skills:Don’t forget to highlight your technical skills in your application. We want to see your expertise in Snowflake, data pipelines, and integration architectures. Be specific about the tools and technologies you've used to solve complex data challenges.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Adecco

Know Your Snowflake Inside Out

Make sure you brush up on your Snowflake knowledge before the interview. Understand its architecture, features, and best practices. Be ready to discuss how you've used Snowflake in past projects, especially in relation to data modelling standards like Data Vault and Star Schema.

Showcase Your Integration Skills

Prepare examples of how you've designed scalable integration architectures for legacy systems. Be specific about the challenges you faced with platforms like AS400 or SQL-based systems and how you ensured robust reconciliation and auditability in your solutions.

Demonstrate Your Governance Know-How

Be ready to talk about your experience with governance frameworks and security models. Discuss how you've implemented role-based access control (RBAC) and other security measures in previous roles, as this will show your understanding of data protection and compliance.

Think About Performance Optimisation

Prepare to discuss strategies you've employed for platform performance optimisation and cost management. Share specific examples of how you've improved data pipeline reliability and scalability, and be ready to suggest ideas for enhancing performance in a cloud-first architecture.