At a Glance
- Tasks: Design and deliver innovative Data and AI solutions for transformative customer outcomes.
- Company: Join Servent, a Microsoft Solutions Partner driving digital transformation.
- Benefits: Competitive salary, professional development, and opportunities to work with cutting-edge technology.
- Other info: Dynamic environment with opportunities for growth and collaboration.
- Why this job: Shape the future of Data and AI while making a real impact in businesses.
- Qualifications: Experience in Data and AI architecture and strong consulting skills required.
The predicted salary is between 72000 - 88000 £ per year.
Servent is a Microsoft Solutions Partner helping organisations harness the power of Cloud, Data, Security and AI to drive transformation and business growth. We specialise in designing and delivering modern Microsoft technology solutions that enable customers to become secure, data-driven and AI-enabled enterprises.
As part of our continued growth, we are seeking an experienced Data and AI Architect to help customers unlock the value of their data, accelerate AI adoption and shape the evolution of Servent's Data and AI capability.
You will work with customers, Microsoft and Servent delivery teams to design modern Data and AI solutions, support pre-sales opportunities and deliver successful customer outcomes. You will lead discovery workshops, define solution architectures, support the evolution of Servent's Data and AI offerings and help establish Servent as a recognised leader in Azure Data, Analytics and AI transformation.
- Develop innovative Data and AI offerings aligned to Microsoft's strategic priorities.
- Support the growth of Data and AI revenue through customer engagement and pre-sales activity.
- Support the growth of qualified Data and AI pipeline and revenue.
- Creation of repeatable Data and AI service offerings and accelerators.
- Successful delivery of high-quality, profitable customer engagements.
Data and AI Practice
- Support the development and growth of Servent's Data and AI practice, ensuring alignment with business objectives, market opportunities and Microsoft's strategic direction.
- Define and evolve Servent's Data and AI service offerings, methodologies, accelerators and delivery frameworks.
- Establish architectural standards, governance principles and quality frameworks to ensure consistent delivery excellence across customer engagements.
- Carry out data maturity assessments to help clients map out their data strategy.
- Facilitate discovery workshops, envisioning sessions and architecture reviews to help customers develop Data and AI roadmaps.
- Translate business requirements into scalable, secure and cost-effective Data and AI solutions.
- Provide strategic guidance on data transformation, analytics modernisation, governance and AI adoption.
- Develop trusted relationships with senior customer stakeholders and become a recognised advisor on Data and AI strategy.
- Architect and oversee the delivery of enterprise-scale Data and AI solutions on Microsoft Azure.
- Design modern data platforms using technologies including Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, Microsoft Purview, Azure Data Explorer, Synapse Analytics and Power BI.
- Apply data and semantic modelling best practices including dimensional modelling to deliver consistent, trusted and high-performing analytics solutions.
AI and Modern Data Innovation
- Design AI-ready data platforms that support advanced analytics, machine learning and Generative AI workloads.
- Architect solutions leveraging Azure AI Services, Microsoft Foundry, Copilot Studio, Azure OpenAI and Microsoft Fabric capabilities where appropriate.
- Design Retrieval Augmented Generation (RAG) architectures, knowledge discovery solutions and intelligent data-driven applications.
- Support sales and account management teams in identifying, qualifying and developing Data and AI opportunities.
- Help shape customer business cases and articulate the value of Data and AI solutions.
- Support the growth of the Data and AI practice through pipeline generation, customer expansion opportunities and strategic account development.
- Represent Servent in customer engagements, industry events and Microsoft-led initiatives.
Microsoft Partnership and Market Engagement
- Support the attainment and renewal of Microsoft Solution Partner Designations and Advanced Specialisations relevant to Data and AI.
- Contribute to joint Microsoft and customer engagements, workshops and go-to-market activities.
Internal Data and Business Enablement
- Support the evolution of Servent's internal data and reporting capabilities.
- Identify opportunities to leverage data, automation and AI to improve operational effectiveness and decision-making.
We are seeking an experienced Data and AI Architect with a proven track record of designing, delivering and leading enterprise-scale Data and AI solutions within consulting, professional services or customer-facing technology environments.
- Ability to translate business objectives into practical Data and AI roadmaps and technical solutions.
- Strong consulting skills with the ability to influence decisions, challenge assumptions and guide customers through technology transformation initiatives.
- Significant experience architecting and delivering modern Azure-based Data and AI platforms.
- Experience leading complex transformation programmes from strategy and design through to implementation and operational handover.
- Ability to provide technical leadership across multiple projects whilst ensuring consistent quality and delivery excellence.
Data and AI Expertise
- Demonstrable experience designing modern data platforms supporting analytics, reporting, machine learning and AI workloads.
- Strong understanding of data architecture, data modelling, master data management, governance and data lifecycle management.
- Experience implementing scalable and secure data solutions capable of supporting advanced analytics and AI-enabled business outcomes.
- Understanding of emerging AI technologies and their practical application within enterprise environments.
- Advise customers on data governance and AI adoption, including ownership, quality, lineage, privacy, responsible AI controls, data readiness assessments and operationalisation.
- Experience mentoring, coaching and supporting the development of engineers, consultants and architects.
- Experience leading technical discussions and presenting to executive-level stakeholders.
Commercial and Business Awareness
- Understanding of project commercials, solution estimation and the delivery of profitable consulting engagements.
- Microsoft Fabric and/or Azure Databricks
- Azure data platform architecture
- Modern data platform design and delivery
- Azure Data Factory
- Azure Data Lake Storage
- Azure Data Explorer
- Microsoft Purview
- Power BI
- Azure SQL and SQL Server platforms
- Data Engineering and Analytics
- Data integration and ETL/ELT design
- Data warehousing methodologies
- Data modelling and information architecture
- Streaming and near real-time data platforms
- Machine Learning and Large Language Models
- Azure AI and Modern Data Solutions
- Azure AI Services
- Microsoft Foundry
- AI-ready data platform design
- Responsible AI and AI governance principles
- Development and DevOps
- Python and/or C#
- Azure DevOps
- Software engineering and DevOps best practices
- Microsoft Cloud Adoption Framework
Candidates should hold one or more relevant Microsoft certifications and demonstrate a commitment to continuous learning and professional development.
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Fabric Data Engineer Associate
- Microsoft Certified: Azure Data Scientist Associate
Data IT Architect employer: Servent Ltd - Microsoft Azure Expert Consultancy
At Servent, we pride ourselves on being a leading Microsoft Solutions Partner, fostering a dynamic work culture that encourages innovation and collaboration. As a Data & AI Architect, you will not only have the opportunity to shape transformative solutions for our clients but also benefit from continuous professional development and mentorship in a supportive environment. Located in a vibrant tech hub, we offer competitive benefits and a commitment to employee growth, making Servent an exceptional place to advance your career in the ever-evolving field of data and AI.
Contact Details:
Servent Ltd - Microsoft Azure Expert Consultancy Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data IT Architect
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We think you need these skills to ace Data IT Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Servent Ltd - Microsoft Azure Expert Consultancy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Servent Ltd - Microsoft Azure Expert Consultancy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Servent Ltd - Microsoft Azure Expert Consultancy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Servent Ltd - Microsoft Azure Expert Consultancy!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
