Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and implementation of advanced data architectures using Azure technologies.
- Company: Fractal Analytics, a strategic AI partner for Fortune 500 companies.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a team that empowers imagination with intelligence and drives innovation.
- Qualifications: Expertise in Azure Data Platform and experience leading data teams.
- Other info: Recognised as a Great Place to Work with excellent career advancement opportunities.
The predicted salary is between 48000 - 84000 £ per year.
It has come to our notice that Fractal Analytics’ name and logo are being misused by certain unscrupulous persons masquerading as Fractal’s authorized representatives to approach job seekers to part with sensitive personal information and/or money in exchange of promise of lucrative job offers in Fractal. Please exercise caution and verify that the person approaching you is a genuine representative of Fractal Analytics, or an authorized consultant, before you provide any personal details or other non-public information. If in doubt, please write to hiring@fractal.ai to seek clarification or report any abuse.
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.
Location: London
Core Technical Expertise
- Advanced proficiency in PySpark, Databricks, and Azure Data Platform (ADF, Azure Data Lake, Synapse, etc.).
- Strong hands-on experience with proprietary ETL frameworks (e.g., Mars’ Simpel) and ability to troubleshoot, optimize, and extend such platforms.
- Deep understanding of data engineering pipelines (batch & real-time), orchestration, and performance tuning.
- Experience in data mesh principles and building federated data product journeys (domain-driven design, ownership models, contracts, discoverability).
- Demonstrated ability to design, build, and scale data products across the enterprise value chain (Commercial, Supply Chain, Finance, Marketing, Digital Commerce, etc.).
Architecture & Solutioning
- Expertise in designing enterprise-grade data architectures (ingestion, processing, storage, governance, access).
- Knowledge of data governance frameworks including metadata management, lineage, cataloguing, quality, and compliance.
- Experience in cloud-native data architectures and hybrid data ecosystems (on-prem to cloud migration, modernization).
- Ability to evaluate build vs. buy trade-offs and incorporate accelerators/frameworks (e.g., Morpheus).
Leadership & Delivery
- Proven track record of leading and mentoring 10+ member data teams (engineers, analysts, architects).
- Strong stakeholder management – ability to engage senior business/technology leaders and influence decision-making.
- Experience in large-scale transformation programs within multi-vendor ecosystems.
- Ability to drive end-to-end delivery from discovery, design, estimation, execution, and handover.
Consulting & Business Orientation
- Exposure to data monetization and value realization frameworks – linking architecture choices to business outcomes.
- Skilled in preparing technical proposals, solution approaches, and estimations for RFPs/RFIs.
- Ability to simplify technical narratives into executive-ready presentations for CDOs/VPs.
Good to Have Skills
- Understanding of AI/ML workflows (feature store, model serving, MLOps).
- Awareness of Agentic AI and next-gen AI/LLM architectures.
- Familiarity with other cloud platforms (AWS, GCP, Snowflake, Redshift, BigQuery, etc.).
- Experience in multi-cloud interoperability and cost optimization.
- Exposure to domain-specific data products in CPG/Retail/Energy verticals.
- Familiarity with modern data contract tools (NextData, DataHub, Collibra, dbt, etc.).
Soft Skills & Leadership Traits
- Strong problem-solving and systems thinking – ability to untangle complex technical and business challenges.
- Excellent communication skills – equally comfortable in deep technical discussions and executive-level strategy conversations.
- Collaborative leadership style – enabling cross-functional, multi-vendor teams to deliver at speed.
- Demonstrated ability to build credibility quickly with global stakeholders (US, EU, UK, APAC).
- Change agent mindset – driving modernization while respecting legacy complexities.
If you like wild growth and working with happy, enthusiastic over-achievers, you will enjoy your career with us!
Data Architect - Azure Data Engineering employer: Fractal
Contact Detail:
Fractal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Azure Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with yours. This will help you answer questions more authentically and show that you're genuinely interested in being part of the team.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help you get comfortable with common interview questions and refine your responses, making you feel more confident when it’s your turn.
✨Tip Number 4
Don’t forget to follow up after interviews! A simple thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in the interviewer’s mind.
We think you need these skills to ace Data Architect - Azure Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with Azure Data Engineering, PySpark, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at Fractal. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool data projects, don't hesitate to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you'll find all the details you need about the role and our company culture!
How to prepare for a job interview at Fractal
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure Data Engineering, especially PySpark and Databricks. Be ready to discuss your hands-on experience with ETL frameworks and data pipelines, as these are crucial for the role.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading data teams and managing stakeholders. Fractal values collaborative leadership, so be ready to share how you've influenced decision-making in past projects.
✨Understand the Business Impact
Familiarise yourself with how data architecture choices can drive business outcomes. Be prepared to discuss any experience you have with data monetisation and how it links to value realisation.
✨Simplify Complex Concepts
Practice explaining technical concepts in a way that's easy to understand for non-technical stakeholders. This will demonstrate your communication skills and ability to engage with senior leaders effectively.
