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

Apply Now

Azure Solutions Architect

TEKsystems
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Senior Azure Data Engineer

Enterprise Data Architect (Platform Documentation) - 3/6 month - Remote

Geospatial Data Architect

#Data #Solutions #Architect #Azure

Job Description

We are seeking a highly skilled Solutions Architect to lead the architecture and design of end-to-end data solutions leveraging Azure, Databricks, Power BI, and other advanced technologies. The ideal candidate will have a strong background in data architecture, engineering, and cloud computing, with extensive experience in building Lakehouse architectures and business intelligence solutions.

#Data #Solutions #Architect #Azure

Responsibilities

Lead the architecture and design of end-to-end data solutions leveraging Azure, Databricks, Power BI, and App Services. Develop and implement data lakes, delta lakes, and lakehouse architectures to meet evolving business needs. Collaborate with full-stack developers to ensure smooth integration of front-end and back-end data systems. Enable business applications to seamlessly interact with the data layer, including APIs and Azure App Service components. Define and enforce best practices for data architecture, governance, and security. Ensure all solutions adhere to data management standards, including proper documentation and compliance with industry regulations. Implement and manage a semantic layer to enable business-friendly data models. Provide leadership on creating curated, centralized data models to support analytics and reporting needs. Design scalable solutions using Azure Data Lake Storage Gen2, Databricks Delta Lake, Databricks SQL Warehouse, and Power BI. Build optimized, secure, and performant data pipelines for real-time and batch processing. Lead product delivery from conceptualization to production, ensuring smooth transitions through each phase of the product lifecycle. Provide architectural oversight, ensure on-time delivery, and optimize for performance and scalability. Guide the development of BI and analytics solutions, focusing on Power BI dashboards and reporting. Ensure the data platform supports the growing demand for advanced analytics, machine learning, and AI capabilities. Collaborate with stakeholders, product managers, developers, and business teams to understand requirements and align on technical solutions. Act as a technical lead to guide development teams throughout the implementation process. Produce comprehensive documentation of data architectures, workflows, and standards. Communicate complex technical topics to both technical and non-technical stakeholders effectively.

#Data #Solutions #Architect #Azure

Essential Skills

10+ years of experience in data architecture, engineering, and cloud computing. Extensive experience with Azure cloud services, including Azure Data Lake Storage, App Services, and Azure Databricks. Proven expertise in building Lakehouse architectures using Delta Lake and Databricks SQL Warehouse. Experience with Power BI for building business intelligence solutions, including report and dashboard design. Solid understanding of semantic layers and their role in supporting analytics and reporting. Full-stack development knowledge with a focus on integrating data solutions into front-end applications. Strong experience with product delivery lifecycle, including documentation, governance, and standards adherence. Ability to lead, mentor, and collaborate with cross-functional teams. Excellent communication skills, with the ability to simplify complex technical concepts for business stakeholders. Bachelor's degree in Computer Science, Data Engineering, or a related field.

#Data #Solutions #Architect #Azure

Additional Skills & Qualifications

Experience with machine learning and advanced analytics tools on the Azure platform. Familiarity with CI/CD pipelines and DevOps practices for data engineering. Knowledge of data security best practices in cloud environments.

#Data #Solutions #Architect #Azure

Location

England, UK

Rate/Salary

- GBP Daily

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands.

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.