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- Tasks: Lead cloud data transformation for a major UK utilities company using Azure and Databricks.
- Company: Join a top UK utilities programme making a real-world impact on infrastructure and data innovation.
- Benefits: Enjoy hybrid work options, competitive day rates, and the chance to shape enterprise architecture.
- Why this job: Be at the forefront of data innovation, working with cutting-edge technologies in a collaborative environment.
- Qualifications: Experience with Azure, Databricks, and strong data governance skills are essential.
- Other info: This is a hands-on role requiring a passion for data solutions and cloud technologies.
The predicted salary is between 48000 - 72000 £ per year.
Location: Coventry (Hybrid – 3 days onsite/week)
Day Rate: £600-£650
Start Date: ASAP
Client: Confidential – Major UK Utilities Programme
Clearance: Right to work in the UK
The Role
We are hiring 2x experienced Data Solution Architects to lead a critical cloud data transformation programme for a top UK utilities company. You’ll work with petabyte-scale real-time and historical datasets from systems such as SCADA, SAP, and IoT telemetry. Your primary focus will be delivering modern cloud-native data platforms across Azure, Databricks, Microsoft Fabric, with governance and streaming at scale. This is a hands-on architecture role—driving design, implementation, and platform optimisation.
Why Join?
- Make an impact on real-world infrastructure and data innovation
- Shape enterprise architecture in SCADA, IoT, AI/ML, and telemetry systems
- Lead critical platform design across Microsoft Azure and Databricks ecosystem
Key Responsibilities
- Architect secure, scalable data solutions using Azure, Databricks, Microsoft Fabric
- Lead integrations across SCADA, SAP PM, telemetry, GIS, APIs, and legacy data sources
- Govern structured/unstructured data using Purview, Unity Catalog, Profisee, Informatica
- Implement real-time streaming with Event Hub, Kafka, IoT Hub, and Kusto/ADX
- Design data platforms with Delta Lake, ADLS Gen2, Cosmos DB, Synapse, Fabric OneLake
- Lead CI/CD infrastructure using Terraform, Bicep, Azure DevOps, GitHub
- Define compute, storage, security, and networking architecture at scale
- Enable AI/ML integration pipelines and analytics layers with Power BI, Databricks ML
- Collaborate with engineers, data scientists, and stakeholders across disciplines
- Promote DevSecOps, governance, resilience, and observability across the ecosystem
Core Skills & Experience
- Azure Data Factory, Synapse, Databricks, Delta Lake, ADLS, Cosmos DB, Azure SQL
- Event Hub, Kafka, IoT Hub, Kusto/ADX
- Strong unstructured data migration and transformation experience
- Data modelling, mapping, profiling, governance, and security
- Tools: Purview, Profisee, Informatica, Unity Catalog
- Strong CI/CD and IaC (Terraform/Bicep, Azure DevOps)
- Zero Trust architecture, RBAC, VNet, Private Endpoint, ExpressRoute
- HADR, cost optimisation, logging, monitoring, and performance tuning
Desirable Skills
- Industry: Utilities, SCADA, SAP PM, GIS, telemetry, IoT
- Governance Tools: Collibra
- Programming: Python, Kusto (KQL)
Data Solution Architect employer: Queen Square Recruitment
Contact Detail:
Queen Square Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solution Architect
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure, Databricks, and Microsoft Fabric. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the utilities sector or those who have worked on similar cloud data transformation projects. Engaging with them on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've implemented data solutions at scale. Be ready to explain your approach to governance, security, and performance tuning, as these are critical aspects of the role.
✨Tip Number 4
Showcase your understanding of DevSecOps principles and how they apply to data architecture. Being able to articulate how you would promote resilience and observability in a cloud environment will demonstrate your fit for the role.
We think you need these skills to ace Data Solution Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Azure, Databricks, and cloud-native data platforms. Emphasise your hands-on architecture skills and any projects involving real-time data solutions.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data architecture and how your skills align with the role. Mention specific technologies like Event Hub, Kafka, and your experience with governance tools such as Purview.
Showcase Relevant Projects: Include examples of past projects where you led data transformations or implemented CI/CD pipelines. Highlight your contributions to architecture design and any collaboration with cross-functional teams.
Highlight Soft Skills: Don't forget to mention your soft skills, such as leadership, communication, and teamwork. These are crucial for collaborating with engineers and stakeholders in a hybrid work environment.
How to prepare for a job interview at Queen Square Recruitment
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Azure, Databricks, and Microsoft Fabric in detail. Highlight specific projects where you've architected data solutions, focusing on the tools and methodologies you used.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions that assess your ability to tackle real-world challenges. Prepare examples of how you've approached complex data integration or migration tasks, particularly with SCADA or IoT systems.
✨Emphasise Collaboration Experience
This role involves working closely with engineers and data scientists. Share examples of successful collaborations, detailing how you communicated technical concepts to non-technical stakeholders and ensured project alignment.
✨Understand Governance and Security
Given the focus on data governance and security, be ready to discuss your experience with tools like Purview and Profisee. Explain how you've implemented governance frameworks and security measures in past projects.
