(Immediate Start) Microsoft Azure Architect

Amplifi (Europe)
Bristol
2 months ago
Applications closed

Related Jobs

View all jobs

Pricing Manager

Flight Data Analyst

Junior Data Engineer

Pricing Manager - e-commerce

Chief Financial Officer (CFO) – London (Hybrid/Remote Available)

AI Technical Lead, ex .NET C#, Microsoft Developer, AI Maverick Remote

Job Title: Microsoft Azure ArchitectJob type:PermanentLocation: We have offices in Leamington Spa, but you canbe based anywhere in the UK as we work flexibly.At Amplifi we knowthat our people are our biggest asset, therefore we are committedto hiring individuals who can embrace and embody our relaxed,family feel culture. We are conscious of creating a diverse andinclusive team, and want to hire people into Amplifi who we canempower and progress. We are aware that you may not meet everysingle requirement on the advert, but we would encourage you toapply or reach out to one of the team as a lot of us did not beginour careers’ at Amplifi as experts. WHO WE ARE:Amplifi is the go-todata consultancy for Enterprise organisations that want theirsuccess to be driven by data. We empower our customers to innovate,grow and succeed by establishing and delivering strategies acrossall elements of the data value chain.From the governance andmanagement of data through to analytics and automation, ourintegrated approach to modern data ecosystems delivers measurableresults through a combination of expert consultancy andbest-in-breed technology.Amplifi Europe has a presence in the UKand Denmark covering UK, Ireland and the breadth of NorthernEurope.THE ROLE:As a Microsoft Fabric Solution Architect, you willbe responsible for designing and developing data warehouse, lakeand lakehouse solutions for Amplifi’s clients, using MicrosoftFabric and other Microsoft Technologies. You will work closely withdata analysts, data engineers and other stakeholders to ensure thatthe solutions we design and implement are optimized forperformance, scalability, and reliability. You will design andimplement solutions appropriate to the needs of the client and inaccordance with industry best practice (such as following the‘medallion’ architecture pattern). Your expertise in datawarehousing, data integration and Microsoft Fabric will be crucialin delivering successful data solutions to Amplifi clients.The roleis primarily client facing, but with a responsibility to contributeknowledge and experience gained from implementation projects to theAmplifi body of knowledge, in order to build collateral for re-usein future implementations.WHAT YOULL BE GETTING UP TO:Design andimplement robust data warehouse, lake and lakehouse solutions usingMicrosoft Fabric and related technologies.Design Fabric solutionsto support the outcomes required by our clients, whilst followingindustry best practice approaches (such as Data Fabric, MedallionArchitecture etc.)Design and implement Data Integration solutionsincluding ingestion of data into Fabric, transformation of data inthe warehouse/lakehouse and delivery of data to consumers.Optimizedata models and database schema to improve query performance anddata retrieval times.Produce designs which help ensure dataaccuracy, consistency, and integrity across the datawarehouse.Implement data partitioning, indexing, and otheroptimization techniques to improve data warehouseperformanceCollaboration:Work closely with data analysts, dataarchitects, data engineers and client stakeholders to gatherrequirements and translate them into scalable Microsoft Fabricsolutions.Collaborate with Amplifi technology experts and client ITteams to ensure seamless deployment processes.Data Governance:Incollaboration with Amplifi data governance experts, design andimplement measures to support data governance best practices,including data security, privacy, and compliance.Develop anddeliver documentation related to Data Fabric architecture,processes, and procedures.Continuous ImprovementStay updated withthe latest advancements in data platform technologies, particularlyMicrosoft Fabric, and reflect this in your solutiondesigns.Participate in design reviews, collaborating with membersof the Amplifi and client teams to ensure robust end toContributeto the Amplifi body of knowledge to benefit future Amplifi projectsin the area of Data Warehouse design and implementation. (E.g. bestpractice, methodologies, lessons learned etc.)THE ROLE WILL BE AGREAT FIT IF:You have experience in SOME of the below:Experience asa Data Platform Architect, with hands-on experience in designingand managing data warehouses, lakes and lakehouses.Provenexperience with Microsoft Fabric or similar dataplatforms.Microsoft certifications in the field of Data and AI(e.g. Microsoft Certified Fabric Analytics Engineer AssociateDP-600, Microsoft Certified: Azure Solutions Architect ExpertAZ-305, Microsoft Certified: Azure Data Engineer AssociateDP-203).Technical skills:Strong proficiency in SQL and databasedesign principles.Experience in data modelling, particularly in thecontext of data warehouse design.Knowledge of cloud platforms suchas Azure, AWS, or Google Cloud, particularly in relation to datawarehousing.Data Integration and EngineeringexperienceUnderstanding of data governance, data security, andcompliance requirements.Preferred experience:Data technologies suchas Databricks, Snowflake etc.Knowledge of data, analytics and AItools.ETL and Data Integration technologies such as Azure DataFactory, Talend, AbInitio or similaStrong problem-solving skillsand the ability to troubleshoot complex issues.Excellentcommunication skills, with the ability to convey technical conceptsto non-technical stakeholders.Ability to work independently as wellas part of a collaborative team.WHAT WE WILL OFFER YOU:30 daysannual leave plus bank holidaysPrivate medical cover throughVitality (this includes, free weekly Café Nero drinks, free cinematickets, free Apple watch, free amazon prime, and many more rewardsthrough Vitality)No dress codeEnhanced maternity, paternity andadoption leaveCompany away daysWork from anywhere allowanceChoiceof Mac or Windows laptop when you startFree use of the mindfulnessapp Headspace for 1 yearIf you have some but not all skillsrequired for this role, don’t worry, we put training/upskilling foreach employee as paramount and can give you the complete skillset.For more information about the role or our flexible workingpolicies, message Naomi Cruden (Talent Manager) on LinkedIn.Amplifido not accept CVs from agencies

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.