Solution Architect - Data Orchestration

Lloyd's Register
London
1 year ago
Applications closed

Related Jobs

View all jobs

Enterprise AI Solution Architect: Generative AI & MLOps

Enterprise AI Solution Architect — GenAI & MLOps Lead

Infosys - Senior Practice Lead- Data Science - London, UK

Infosys - Senior Practice Lead- Data Science - London, UK

Data Scientist-Senior Manager

Data Scientist-Manager

What we’re looking for

The Solution Architect – Data Orchestration will combine the responsibilities of designing end-to-end solutions on Microsoft Azure and crafting the detailed data architecture that supports data management, analytics, and business intelligence initiatives. This role integrates the high-level strategic vision of a Solution Architect with the technical depth of a Data Architect, focusing on architecting a scalable, secure, and efficient data platform that enables advanced analytics and AI across the organisation.

This role will bridge the gap between business goals and technical implementation, ensuring that both the cloud infrastructure and the underlying data architecture align to deliver value-driven solutions.

The candidate will drive the design of our Azure-based data platform in cooperation with our Partners.

What we offer you 

Competitive Salary. A regular full-time position. Flexible work schedules with an appreciation for work-life balance. Working in a global companywith the ability to work with different cultures and diverse people. The opportunity to work for an organization that has a strong sense of purpose, is values-driven, and helps colleagues to develop professionally and personally through our range of people development programs. Start: asap, but other arrangements can be discussed UK-based individual Hybrid with a mix of remote and indicatively 2 days per week at 71 Fenchurch Street, London 

The role 

Design scalable, cloud-native data solutions using Microsoft Azure services. Define the data architecture inside our Data Platform, ensuring an optimised flow of data across the Company in alignment with Enterprise architecture Translate business requirements into both high-level and detailed architectural designs that support business needs in cooperation with our Partners. Work closely with business stakeholders to understand their data needs and ensure that data is available to support business operations and decision-making. Ensure that the solutions are aligned with data governance policies, compliance requirements, and best practices for cloud architecture. Ensure that the data team follows best practices and adheres to established data management standards. Define data management standards, including metadata management, data lineage, and master data management. Stay up-to-date with the latest data management technologies and techniques, and ensure that the team is trained in these as necessary. Provide guidance and mentorship to team members to help them develop their skills and careers. Conduct performance evaluations and provide feedback to team members to help them improve and grow.

What you bring 

Bachelor's degree in Computer Science, Data Science, or a related field or comparable experience. 8-12 years of experience in IT, with a focus on data platform architecture and cloud computing. At least five years of hands-on experience architecting solutions on Microsoft Azure. Deep expertise in Microsoft Azure data services. Strong proficiency in data architecture principles, including data modelling, data integration, and building data pipelines. Solid experience with ETL/ELT processes, data governance, and data quality frameworks. Deep understanding of security frameworks for data platforms, including encryption, role-based access, and data privacy regulations. Excellent communication and interpersonal skills, with the ability to work effectively with a diverse team of data professionals and business stakeholders onshore and offshore. Strong Technical leadership Experience in Project management A track record of successfully leading data management teams to deliver high-quality solutions. Familiarity with Microsoft Fabric, particularly in the context of integrating data, analytics, and AI workflows within the Azure ecosystem. Knowledge of graph databases or NoSQL databases like Azure Cosmos DB

About us 

We are a leading international technical professional service provider and a leader in classification, compliance, and consultancy services to the marine and offshore industry, a trusted advisor to our customers helping to design, construct and operate their assets to the highest levels of safety and performance. We are shaping the industry’s future through the development of novel and innovative technology for the next generation of assets, while continuing to deliver solutions for our customers every day.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.