Lead Data Architect - Private Equity - up to £140,000

Saragossa; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Saragossa seeks a senior data architect to lead the design and delivery of our enterprise data strategy. You’ll shape a modern Azure-based data platform, bringing together disparate data sources into a scalable, coherent system.

You’ll work hands-on with Azure, SQL and Python, while guiding governance and ELT/ETL processes. This role offers strong senior exposure and a hybrid work model in the UK.

Qualifications

• Strong data architecture experience on modern cloud platforms.
• Track record building and optimizing data lakes or data platforms.
• Hands-on capability with Azure, SQL and Python.
• Experience with ELT/ETL pipelines and governance frameworks.

Responsibilities

• Design and deliver enterprise data strategy.
• Build out cloud data platforms on Azure.
• Integrate siloed data sources into a coherent, scalable solution.
• Collaborate with stakeholders across business functions.

Skills

Data architecture

Azure

SQL

Python

ELT/ETL

Data governance

Data platform

Tools

Azure

Cloud platforms

Job description

You're stepping into a fast growing data environment and owning the architecture from the ground up.

This is a UK-based European mid-market private equity firm, backing entrepreneurial management teams across technology, healthcare and financial services. The data and product capability is growing, and there's a genuine appetite to do this properly.

You'll be sitting as number two to the Director of Technology, which means real influence, real ownership, and a direct line into how data shapes the business going forward. You're not inheriting a finished platform. You're defining the roadmap, professionalising what exists, and building something modern that the whole firm can rely on.

Day to day, you'll be designing and delivering enterprise data strategy, building out cloud data platforms on Azure, and bringing together siloed data sources into something coherent and scalable. You'll be hands-on with the engineering while also advising at a strategic level, working across multiple business functions and bringing stakeholders with you. This is the kind of role where your decisions actually stick.

The environment is hybrid, three days in the office and two from home. It's a permanent position with senior exposure from day one.

When it comes to what you'll bring, you'll have strong data architecture experience across modern cloud platforms, a track record of building and optimising data lakes or data platforms, and solid hands-on capability with Azure, SQL and Python. You'll know your way around ELT and ETL pipelines and you'll have worked with enterprise data governance frameworks. A background in financial services or a related environment will serve you well here.

Ready to shape something that hasn't been defined yet?