Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Architect - Azure Data Factory – SC Cleared

Farringdon
3 weeks ago
Create job alert

Data Architect - Azure Data Factory – SC Cleared - Part Time - Remote - Inside IR35
Lead the migration of data capabilities from a legacy stack onto a newly delivered Azure Data Factory platform for a major UK public sector programme. You’ll set the target data architecture, govern the migration, and work closely with stakeholders and engineers to deliver a secure, performant and cost-effective solution.
This is a part-time role, offering 3 days per week. Due to the nature of the role, we require candidates with an active SC Clearance. 
Responsibilities

Own the target data architecture (ingest → transform → serve) and standards/guardrails.
Plan and govern migration from Oracle/PL-SQL to Azure (e.g. Azure SQL/T-SQL), including cutover and risk.
Define conceptual/logical/physical data models and interfaces.
Oversee ETL/ELT in Azure Data Factory, ensuring reliability, observability and cost optimisation.
Guide PL/SQL → T-SQL conversion, recommending tooling (e.g. SSMA).
Champion DevOps practices (Git/GitHub, CI/CD) and produce clear design/runbook docs.
Engage senior technical and non-technical stakeholders effectively.Skills & experience:
Essential

Advanced SQL; strong Oracle PL/SQL and T-SQL (migration/conversion experience).
Proven Azure Data Factory design/governance at scale.
Data modelling & RDBMS fundamentals.
Excellent stakeholder management and communication.Desirable

Data engineering on Azure; monitoring and cost control.
SSMA, Git/GitHub, VS Code, GitHub Copilot / basic LLM prompting (foundational knowledge fine).
Data architecture & network basics in Azure (VNets/private endpoints).
Power BI / SAP BusinessObjects exposure

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect - Azure Data Factory – SC Cleared

Data Architect – AI – Public Sector

Data Architect - Data Vault, Snowflake, ADF

Data Architect (IT) / Freelance

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.