Data Architect: Cloud-Native & AI-Driven Data Solutions

Methods; Greater London; On-site; GBP 80,000 - 100,000; Full time

Benefits offered by this job

25 days annual leave

Pension Salary Exchange Scheme

Discretionary Company Bonus

Private Medical Insurance

Wellness assistance program

Social events

Job summary

Methods Analytics is seeking a Data Architect to join their team on a permanent basis. This role involves advocating data standards across projects, designing end-to-end data solutions, and leading complex data migration from legacy systems to modern platforms.

The ideal candidate should possess extensive experience with the Azure data stack and strong background in data modelling and unstructured data management.

Qualifications

• 5+ years of experience in data architect roles with a focus on integration and deployment.
• Demonstrated ability to drive data standards across projects.
• Extensive knowledge of the Azure data stack and modern data architectures.

Responsibilities

• Design and implement end-to-end data solutions.
• Lead complex data migration projects to cloud-native platforms.
• Communicate technical information to non-technical audiences.

Skills

Data streaming architectures

Data modelling

Azure data stack

Data migration projects

Lambda architectural patterns

Parquet/Delta Lake

AI/ML data architectures

Unstructured data management

Relational database design

Industry certifications

Data mesh/fabric approaches

Modern data platforms

Public sector experience

DevOps practices

Security vetting

Education

Relevant industry certifications

Tools

Microsoft Azure

Kafka

Event Hubs

Kinesis

SQL Server

PostgreSQL

Databricks

CosmosDB

Job description

Methods Analytics is seeking a Data Architect to join their team on a permanent basis. This role involves advocating data standards across projects, designing end-to-end data solutions, and leading complex data migration from legacy systems to modern platforms.

The ideal candidate should possess extensive experience with the Azure data stack and strong background in data modelling and unstructured data management.