Remote Data Architect: Azure & AI Platform Leader

Methods Business and Digital Technology

Bristol

Hybrid

GBP 90,000 - 125,000

Full time

14 days+
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Benefits offered by this job

Annual hackathon
Community of Practice
Team-building events
Pluralsight access
LinkedIn Learning
Volunteer days
Private medical insurance
Worldwide travel insurance
Discretionary bonus
Life assurance
Annual leave 25 days
Pension Salary Exchange
Wellness program
Office social events

Job summary

Methods Analytics is seeking a Data Architect to join on a permanent basis, with a role that is mainly remote and travel to client sites as needed. The candidate will design data architectures, expose data via APIs, and lead migration projects to modern cloud-native platforms across the UK.

You will mentor junior engineers and collaborate with data scientists, software engineers and business stakeholders to deliver scalable, secure data services and architectures.

Qualifications

  • Deep knowledge of Azure data stack and modern data services.
  • Extensive data modelling and database design experience.
  • Proven track record with large-scale data migrations.
  • Experience with real-time streaming and AI/ML data workloads.

Responsibilities

  • Design end-to-end data solutions and architecture blueprints.
  • Lead complex migration projects from legacy to cloud-native platforms.
  • Mentor junior team members and collaborate with data engineers, data scientists, and stakeholders.
  • Evaluate technologies and establish architectural patterns for quality and security.

Skills

Azure data stack
Data modelling
Relational DB design
Data migration
Parquet/Delta Lake
Streaming architectures
AI/ML data workloads
Unstructured data
Lambda/Kappa patterns

Tools

Azure tools

Job description

Methods Analytics is seeking a Data Architect to join on a permanent basis, with a role that is mainly remote and travel to client sites as needed. The candidate will design data architectures, expose data via APIs, and lead migration projects to modern cloud-native platforms across the UK.

You will mentor junior engineers and collaborate with data scientists, software engineers and business stakeholders to deliver scalable, secure data services and architectures.

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