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Data Architect

Vector Resourcing Ltd.

East Midlands

On-site

GBP 60,000 - 80,000

Full time

30+ days ago

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Job summary

An innovative firm is seeking a talented Data Architect to spearhead the design and implementation of advanced Azure cloud solutions. This role is crucial for modernizing legacy systems while ensuring data security and scalability. You'll be at the forefront of translating evolving business needs into a robust data architecture strategy, driving transformation efforts that enhance reporting and analytics capabilities. If you are passionate about leveraging cloud technologies and have a knack for data architecture, this is an exciting opportunity to make a significant impact in a dynamic environment.

Qualifications

  • Expertise in designing Azure cloud solutions and data architecture.
  • Strong knowledge of data security and compliance requirements.

Responsibilities

  • Lead the design and implementation of Azure cloud native solutions.
  • Translate business needs into a strategic data architecture.

Skills

Data Architecture
Azure Cloud Solutions
Data Security
Python
SQL
DevOps Practices
SRE Principles
ETL Processes

Job description

We are looking for a Data Architect to lead the design and implementation of cutting-edge Azure cloud native solutions, modernising legacy systems while ensuring data security, scalability, and innovation. Your ability to understand evolving business needs and translate them into a robust data architecture strategy will be vital to the success of our transformation efforts.

Responsibilities
  1. Develop a comprehensive understanding of existing business legacy systems and define migration paths to Azure cloud native solutions.
  2. Ensure all future systems are designed with security embedded to meet regulatory requirements and company standards.
  3. Triage and interpret business needs and new requirements, translating them into a strategic data architecture that supports evolving reporting and analytics needs.
  4. Define and understand relationships between all data sources, acting as the gatekeeper for the impact of future or proposed changes.
  5. Experience of migrating systems/data platforms from on-premise data centres to public cloud environments.
  6. Strong knowledge of cloud services, including data storage, data catalogues/lineage, ETL processes, and pipelines for data ingestion, transformation, and landing.
  7. Expertise in Python and SQL for data processing, with a strong understanding of implementing DevOps practices and SRE principles.
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