National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Solution Architect (Data Engineering)

Fractal
London
3 weeks ago
Create job alert

It's fun to work in a company where people truly BELIEVE in what they are doing!

Solution Architect (Data Engineering)

London

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit for more information about Fractal

As a Solution Architect, you will help create, pitch and deliver our Data Engineering offerings at large scale. This role will have both business and technical ownership. 

Day-to-Day Responsibilities:

Individual Contributor

Design and own the end-to-end solution architecture for complex data estates across Azure, Databricks, PySpark, and broader modern data stacks.

Collaborate with vendors and demanding business stakeholders to build scalable, aligned, and performance-driven solutions.

Engage directly with clients in deep-dive working sessions and large forums to explain architectural decisions and obtain alignment.

Be fully hands-on where needed—including writing production-grade code. Candidates hesitant to code should not be considered.

Pre-Sales / RFPs

Actively contribute to organization-wide RFPs and pre-sales efforts based on domain experience and current engagements.

Must demonstrate comfort in writing proposals, defining solution approaches, and participating in orals.

Minimum 5 years of experience contributing to RFPs is highly preferred.

Hesitation or non-participation in RFPs is a disqualifier.

Team Leadership & Program Management

Estimate effort, define delivery scope, and break down solution modules into executable components.

Provide hands-on guidance to a team of data engineers and solution developers, aligning execution with architectural vision.

Create clarity in task allocation, and ensure technical quality and delivery velocity across pods.

In terms of technical experience - 

15+ years of hands-on Data Engineering development experience

Proficient in Object-oriented languages (Python, PySpark) and frameworks 

Hands-on expertise in Azure ecosystem, including components like Azure Data Factory, Azure Data Lake Storage, Azure, SQL, Azure DataBricks, HD Insights, ML Service etc. 

Expertise in relational and dimensional modelling, including big data technologies.

Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus. 

In terms of business responsibilities - 

Client Engagement & Business Growth with a heavy technology focus. 

Build and nurture strong client relationships, acting as a trusted advisor.

Drive account growth through proactive technology strategy development and technical adjacency opportunity discovery. 

Lead pre-sales initiatives, crafting technically competent and compelling value propositions.

Identify and develop new business opportunities within existing and emerging markets.

Collaborate with extended Fractal Technology and Practice leadership to define growth roadmaps and execute strategies.

Good understanding of the CPG (Consumer Packaged Goods) domain is preferred.

Mandatory Skills:

Proficient in Object-oriented languages (Python, PySpark) and frameworks 

Hands-on expertise in Azure ecosystem, including components like Azure Data Factory, Azure Data Lake Storage, Azure, SQL, Azure DataBricks, HD Insights, ML Service etc. 

Expertise in relational and dimensional modelling, including big data technologies.

Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus. 

Nice to have:

Client Engagement & Business Growth with a heavy technology focus. 

PreSales

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit? Let us know you're interested in a future opportunity by clickingin the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Related Jobs

View all jobs

Solution Architect – AI & Machine Learning (Basé à London)

Data Solution Architect - Data Engineering

Data Solution Architect - Data Engineering

Data Solution Architect - Data Engineering

Solutions Architect (AI)

Application Architect

National AI Awards 2025

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.