Principal Data Architect — Remote with Govt-Scale Data & AI

Methods Business and Digital Technology; Sheffield; Remote; GBP 80,000 - 110,000; Full time

Benefits offered by this job

Wellness programme

Private medical insurance

Pension salary exchange

Life assurance

Travel insurance

LinkedIn Learning

Job summary

Methods Business and Digital Technology is seeking a Principal Data Solution Architect to drive data transformation initiatives and set technical direction across multiple client engagements. The role emphasizes leadership, governance, and modern data platforms in a largely remote setting with site visits as needed.

You will mentor engineers, shape the data architecture, ensure security and quality, and collaborate with senior stakeholders to achieve business outcomes.

Qualifications

• Deep knowledge of Fabric architecture, governance, OneLake, Real-Time Intelligence, Data Engineering, Warehousing and Power BI integration.

Responsibilities

• Define technical direction, priorities, standards and decision-making.
• Create and maintain the Data Transformation Programme roadmap and align to target architecture.
• Set priorities and guide technical workstreams.
• Mentor architects and engineers; establish engineering practices.
• Lead architecture reviews and governance forums; define data platform standards.
• Communicate complex data concepts to non-technical stakeholders.
• Lead data migrations from legacy to cloud-native platforms.

Skills

Fabric architecture

Azure data stack

Data modelling

SQL performance

Real-time streaming

Data governance

Stakeholder influence

Technical leadership

Architecture reviews

Education

TOGAF 9

CDMP

AZ-305 Azure Solutions Architect Expert

Tools

Parquet/Delta Lake

Kafka

Event Hubs

Kinesis

Job description

Methods Business and Digital Technology is seeking a Principal Data Solution Architect to drive data transformation initiatives and set technical direction across multiple client engagements. The role emphasizes leadership, governance, and modern data platforms in a largely remote setting with site visits as needed.

You will mentor engineers, shape the data architecture, ensure security and quality, and collaborate with senior stakeholders to achieve business outcomes.