Data Architect (Remote)

Data Architect (Remote)

Hove Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and implement data architecture using Snowflake for a scalable data warehouse.
  • Company: Join a forward-thinking company based in Hove, UK, embracing hybrid work culture.
  • Benefits: Enjoy remote work flexibility and a collaborative team environment.
  • Why this job: Be part of a dynamic team shaping data solutions with real impact in the insurance sector.
  • Qualifications: 10+ years in enterprise data platforms, 5+ years in Snowflake, and strong SQL skills required.
  • Other info: Experience in insurance is a plus; familiarity with Power BI and Agile methodologies is beneficial.

The predicted salary is between 48000 - 72000 £ per year.

Role & Responsibilities

  • Define and implement the end-to-end architecture of Data warehouse on Snowflake.
  • Create and maintain conceptual, logical and physical data models in Snowflake.
  • Design data pipelines and ingestion frameworks using Snowflake native tools.
  • Work with Data Governance teams to establish data lineage, data quality and access control mechanisms.
  • Engage with data stewards and other stakeholders to build a comprehensive and scalable data warehouse.
  • Implement RBAC, data masking and encryption practices to ensure compliance with data security policies.

You Must Possess

  • 10+ years of experience in designing enterprise data platforms with at least 5+ years in Snowflake.
  • Strong expertise in SQL and data warehousing.
  • Hands-on experience working in insurance (prior working experience with L&G will be an advantage).
  • 3+ years of experience in DBT for data transformation.
  • Deep understanding of Agile methodologies in data environment.
  • Familiarity with Power BI.

Data Architect (Remote) employer: N Consulting Global

Join a forward-thinking company that values innovation and collaboration, offering a hybrid work environment in Hove, UK. As a Data Architect, you'll benefit from a supportive culture that prioritises employee growth through continuous learning opportunities and engagement with diverse teams. With a focus on cutting-edge technology and data governance, this role provides a unique chance to make a significant impact while enjoying a balanced work-life dynamic.
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Contact Detail:

N Consulting Global Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Architect (Remote)

✨Tip Number 1

Network with professionals in the data architecture field, especially those who have experience with Snowflake. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.

✨Tip Number 2

Showcase your expertise in SQL and Data Warehousing by participating in online forums or contributing to open-source projects. This will not only enhance your skills but also demonstrate your commitment to the field.

✨Tip Number 3

Familiarise yourself with the latest trends and best practices in data governance and security, particularly in relation to RBAC and data masking. Being well-versed in these areas will make you a more attractive candidate.

✨Tip Number 4

If you have experience in the insurance sector, leverage that knowledge during networking conversations. Highlighting your familiarity with industry-specific challenges can set you apart from other candidates.

We think you need these skills to ace Data Architect (Remote)

Snowflake Architecture
Data Modelling
SQL Proficiency
Data Warehousing
Data Pipeline Design
Data Governance
Data Lineage
Data Quality Management
Access Control Mechanisms
RBAC Implementation
Data Masking Techniques
Data Encryption Practices
DBT for Data Transformation
Agile Methodologies
Power BI Familiarity
Stakeholder Engagement
Insurance Industry Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your 10+ years of experience in designing Enterprise Data Platforms, specifically emphasising your 5+ years with Snowflake. Include relevant projects and achievements that showcase your expertise in SQL and Data Warehousing.

Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for the Data Architect role. Mention your hands-on experience in the insurance sector and how it aligns with the company's needs. Be sure to include your familiarity with Agile methodologies and Power BI.

Showcase Relevant Skills: When detailing your skills, focus on your experience with DBT for Data Transformation and your understanding of Data Governance practices. Highlight any specific instances where you've implemented RBAC, Data Masking, or encryption practices.

Proofread and Edit: Before submitting your application, take the time to proofread and edit your documents. Ensure there are no grammatical errors and that your information is clear and concise. A polished application reflects your attention to detail, which is crucial for a Data Architect.

How to prepare for a job interview at N Consulting Global

✨Showcase Your Snowflake Expertise

Make sure to highlight your extensive experience with Snowflake during the interview. Be prepared to discuss specific projects where you've implemented data architectures and how you tackled challenges using Snowflake's features.

✨Demonstrate Your SQL Skills

Since strong SQL expertise is a must, brush up on your SQL knowledge before the interview. You might be asked to solve problems or optimise queries, so practice common SQL scenarios relevant to data warehousing.

✨Discuss Data Governance Experience

Be ready to talk about your experience working with Data Governance teams. Share examples of how you've established data lineage, quality, and access control mechanisms in previous roles, as this will show your understanding of compliance and security.

✨Familiarity with Agile Methodologies

Since a deep understanding of Agile methodologies is required, prepare to discuss how you've applied Agile principles in your past projects. Highlight any specific frameworks you've used and how they contributed to successful data platform implementations.

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