Data Architect

Anson McCade
UK
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
£80,000.0 - £90,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Cloud Computing Cloud Database Data Architecture Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Systems Data Vault Modeling Data Visualization Metadata Repositories
+9 more
Power BI Tableau (Software) Data Storage Technologies Snowflake Microsoft Fabric Information Technology Looker Analytics Data Pipelines Legacy Systems

Job description

  • Design and implement end-to-end data solutions from ingestion and processing through to analytics and visualisation.
  • Design scalable data pipelines and ETL processes across modern and legacy platforms.
  • Develop conceptual, logical and physical data models, including dimensional, relational and data vault.
  • Own end-to-end data architecture aligned to business and technology strategy.
  • Establish architecture best practices across security, performance, scalability and cost optimisation.
  • Provide technical leadership, architecture governance and design documentation.
  • Develop data quality frameworks, governance policies, schemas and metadata repositories.
  • Integrate AI and machine learning into data solutions, including automation, anomaly detection and predictive data quality.
  • Support data visualisation and translate complex data into actionable insights.
  • Prototype and assess new architecture methods, tools and technologies., If you’re an experienced Data Architect with strong cloud, data engineering, AI and modern data platform experience, we’d love to hear from you., To hear more about this Manager, AI & Data Architect opportunity, hit apply or get in touch with Sophie Higginson at Anson McCade for a confidential discussion.

Requirements

  • 5+ years’ experience in data engineering and architecture, including ETL, data pipelines and data storage.
  • Experience leading data engineering projects or workstreams.
  • Strong experience with cloud platforms and cloud data services.
  • Experience with modern data platforms such as Snowflake and/or Microsoft Fabric.
  • Strong data modelling experience across dimensional, relational and/or data vault approaches.
  • Experience with Power BI, Tableau or Looker.
  • Strong understanding of data governance and data quality.
  • Experience integrating AI/ML into data solutions and understanding of AI governance.
  • Ability to design scalable, secure and cost-effective data architectures.
  • Relevant cloud data engineering certifications would be advantageous.
  • Bachelor’s degree in Computer Science, Data Engineering or a related field would be advantageous.

Benefits & conditions

  • Competitive benefits package.
  • Flexible time off.
  • Private medical plan and health cash plan.
  • Opportunity to work across modern data, cloud and AI transformation initiatives.

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