Data Architect

CBSbutler Holdings Limited trading as CBSbutler; Scotland; Hybrid; GBP 60,000 - 80,000; Part time

Job summary

A prominent consulting firm is seeking an experienced Data Architect to lead the design and implementation of enterprise-scale data architectures, ensuring data accuracy and security. The role, based in Edinburgh or Luton, involves collaborating with business stakeholders to develop robust data solutions. Candidates must have active SC Clearance and a strong background in data architecture, along with solid experience in SQL and database technologies. This is an exciting opportunity to influence data governance and support data initiatives.

Qualifications

• 5+ years of experience in data architecture or senior data engineering roles.
• High proficiency in SQL and multiple database technologies.
• Proven experience establishing and maintaining data governance frameworks.

Responsibilities

• Design and implement enterprise-level data architecture solutions.
• Develop and maintain conceptual, logical, and physical data models.
• Define and enforce data management standards and best practices.
• Collaborate with teams to ensure compliant and secure data.
• Provide technical leadership to data engineering teams.

Skills

Active SC Clearance

SQL and database technologies

Data governance frameworks

Data quality and security compliance

ETL/ELT frameworks

Communication skills

Problem-solving skills

Education

Bachelor's degree in STEM or related field

Master's degree preferred

Tools

Oracle

SQL Server

PostgreSQL

MySQL

Informatica

Talend

Apache Airflow

AWS

Azure

GCP

Hadoop

Spark

Kafka

Job description

Overview

Role: Data Architect

Location: Edinburgh or Luton (hybrid/onsite as required)

Engagement: Contract - Inside IR35

Rate: 550 - 650 per day

Security Clearance: Active SC Clearance required

Project Description

We are seeking an experienced Data Architect to lead the design, implementation, and governance of enterprise-scale data architectures within a secure environment. You will be responsible for ensuring data across systems is accurate, accessible, secure, and aligned to business and technical objectives.

The role requires extensive experience delivering data-intensive systems end-to-end, from initial requirements capture through architecture design and implementation to production delivery. You will work closely with customers and stakeholders to translate business needs into robust, scalable data solutions.

You will act as a senior technical authority, collaborating proactively with IT teams, data engineers, system engineers, and business stakeholders to define data models, data flows, and governance frameworks.

Responsibilities

• Design and implement enterprise-level data architecture solutions, including databases, data warehouses, data lakes, and lakehouse platforms
• Develop and maintain conceptual, logical, and physical data models
• Define and enforce data management standards, policies, and best practices
• Work closely with data engineers to design and optimise ETL/ELT pipelines for structured and unstructured data
• Ensure data quality, consistency, security, and compliance across platforms
• Collaborate with business stakeholders to gather requirements and translate them into technical solutions
• Oversee data integration across cloud and on-premises environments
• Support and lead data governance initiatives, including metadata management, MDM, and regulatory compliance
• Evaluate and recommend new data technologies, tools, and platforms
• Provide technical leadership and mentorship to data engineering and analytics teams

Skills and Experience Required

• Active SC Clearance (mandatory)
• Bachelor's degree in STEM, Computer Science, Information Systems, Data Science, or related field (Master's preferred)
• Strong experience in data architecture, database design, or senior data engineering roles
• High proficiency in SQL and database technologies (e.g. Oracle, SQL Server, PostgreSQL, MySQL)
• Strong knowledge of data warehouse, data lake, and lakehouse architectures
• Experience with ETL/ELT frameworks and orchestration tools (e.g. Informatica, Talend, Apache Airflow)
• Proven experience establishing and maintaining data governance frameworks
• Strong understanding of data security, access controls, and compliance requirements
• Excellent problem-solving, communication, and documentation skills
• Familiarity with AI/ML data pipelines and analytics platforms

Preferred Qualifications

• Experience with cloud data platforms (AWS, Azure, GCP)
• Experience with big data technologies (Hadoop, Spark, Kafka)
• Familiarity with UML / SysML
• Strong understanding of API integration and microservices data flows