Data Architect

Experis Scotland; United Kingdom; On-site; GBP 50,000 - 70,000; Full time

Job summary

A technology consulting firm is seeking a Data Architect to lead the design and implementation of enterprise data architecture. This role is crucial for a large-scale digital transformation, ensuring scalable and secure data solutions that align with business goals. The ideal candidate will have expertise in cloud-native data platforms and data governance. This is a full-time position offering the chance to make a large impact within the organization.

Qualifications

• Strong understanding of cloud-native data platforms.
• Proficient in data modelling and integration patterns.
• Knowledge of data security and compliance.

Responsibilities

• Define and maintain data architecture standards.
• Design data platforms and integration layers.
• Ensure data governance, quality, and compliance.
• Collaborate with stakeholders for data strategy.

Skills

Cloud-native data platforms (Azure, AWS, GCP)

Data modelling

Data governance frameworks

BI tools (e.g., Power BI)

Data security compliance (e.g., GDPR)

Job description

This range is provided by Experis Scotland. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Overview

Data Architect

Role Summary: Leads the design and implementation of enterprise data architecture, ensuring scalable, secure, and future-ready data solutions aligned with business goals. This role plays a key part in a large-scale digital transformation initiative spanning the next five years, supported by significant financial investment. The programme will modernise the organisation’s data estate and offers an opportunity to make a large impact within the business.

Responsibilities

• Define and maintain data architecture standards and models.
• Design data platforms, pipelines, and integration layers.
• Lead adoption of modern data tools and platforms (e.g., Microsoft Fabric).
• Ensure data governance, quality, and compliance.
• Collaborate with stakeholders to align data strategy with business needs.
• Support analytics, BI, and AI initiatives through robust data architecture.

Skills & Experience

• Strong understanding of cloud-native data platforms (Azure, AWS, GCP).
• Proficient in data modelling, integration patterns, and governance frameworks.
• Experience with BI tools (e.g., Power BI) and semantic modelling.
• Knowledge of data security, compliance (e.g., GDPR), and metadata management.
• Desirable: Experience with MLOps, streaming technologies, and regulated sectors.

Seniorit y level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting