National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Architect

LSA RECRUIT LTD
Milton Keynes
5 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineering Manager

GCP Data Solutions Architect

Data Engineer - Big Data

Job Description

 

Job Description:

The CAD-Data Architect/Data Advisor will be responsible for formulating the organizational data strategy, including standards of data quality, the flow of data within the organization, help customer with strategy and choice of products and security of data. The candidate will uphold Prodapt’s winning values and work in a way that contributes to the Company’s vision.

 

<span style="font-size:11pt; font-family:"Aptos", sans-serif" lang="EN-IN">Responsibilities:


  • Database Management: Maintaining the database by determining structural requirements and developing and installing solutions. Recommending upgrades and systems for purchase. Troubleshoot and find solutions for computer systems issues that affect data storage as they arise.
  • Data Security: Ensuring the security of all information and computer systems and digital data. Ensuring adherence to government regulations and guidelines for technological systems and safeguarding of data.
  • Financial Forecasting: Meeting information architecture financial objectives by forecasting requirements, preparing budgets, scheduling expenditures, analyzing variances, and initiating corrective actions.
  • Data Architecture: Defining infrastructure for design and integration of internet computing systems by analyzing information requirements, studying business operations and user-interface requirements, and directing development of physical database. Determining platform architecture, technology, and tools. Improving architecture by tracking emerging technologies and evaluating their applicability to business goals and operational requirements.
  • Strategic Planning: Study organizational mission, goals, and business drivers, and confers with senior management to understand information requirements. Achieve ecommerce information architecture operational objectives by contributing information and recommendations to strategic plans and reviews, preparing and completing action plans, implementing production and quality standards, resolving problems, identifying trends, determining system improvements, and implementing change.


Benefits

<span style="font-size:11pt; font-family:"Aptos", sans-serif" lang="EN-IN">Qualifications:


  • Bachelor’s degree (in any field).
  • MSc/BE/Masters with specialization in IT/Computer Science is desirable.
  • 12-15+ years of work experience.
  • Should have<span style="font-family:"Aptos", sans-serif"> telecom and fibre domainknowledge.
  • Good skills and strong<span style="font-family:"Aptos", sans-serif">data engineering and Machine learning as well.
  • Ability to talk to business, get the BRDs, conceive the requirements and provide a solution for the same.
  • Strong understanding of<span style="font-family:"Aptos", sans-serif">data governance, Data qualityand how they have implemented these processes.
  • They should have worked on S<span style="font-family:"Aptos", sans-serif">nowflake data warehouse.
  • If they are technically hands on also huge plus, GenAI will also be a good add on skills.
  • Experience working in multi-channel delivery projects is desirable.
  • Technical knowledge in Telecom-Basics, T-SQL, PL-SQL, Tableau/ Power BI/Advanced Excel, R/SAS/ Python/Scala/Java, Azure (SQL Database, Cosmos Database, Data Lake Storage, PostgreSQL Database, Blob, Data Factory, Databricks, Analytic Tools, Stream Analytics, Synapse Analytics, Data Lake Analytics), and AWS (Analytics Services, Amazon Athena, Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon Openserach Services, Amazon QuickSight, AWS Glue DataBrew, Datalake, Amazon S3, Aws Lake Formation) is required.



Requirements
IBP Supply Planning Product Interchangeability Inventory Optimization Customer Management: Specialized knowledge of customers' business domain and technology suite. Use latest technology, communicate effectively, demonstrate leadership, present technical offerings, and proactively suggest solutions. Projects Documentation In-depth understanding documentation involved in Project like BBP & Solution Design, FS etc. Able to build into require project documentation and can do a Peer review for team members project/module documents. Domain And Industry Knowledge Specialized knowledge of customers' business processes and relevant technology platform or product. Apply industry standards/ practices and create complex business models in line with customer requirements independently. Analyze current-state and define to-be processes in collaboration with SME and present recommendations with tangible benefits. Drive process improvement initiatives, ROI analysis through innovation. Functional Design Specialized knowledge of solution design, scope analysis, and building blocks for business cases. Identifying key business drivers and translating them into solution components Creating diagrams from use cases and updating design specifications Understanding functional specifications and designing flexible solutions Collaborating with stakeholders to explain the solution approach Offering solution options based on research and coordinating process playbacks and reviews for business solutions. Requirement Gathering And Analysis Specialized knowledge of requirement management processes and requirement analysis processes, tools & methodologies. Extract requirements for complex scenarios and prototype independently. Identify modules impacted, features/functionalities impacted and arrive at high level estimates. Develop traceability matrix and identify transition requirements. Test Management Able to create iteration, system integration test plan and develop integration test cases as required and verify system build, test environment and iteration test plan. Create business scenario test cases and automation test scripts based on understanding of functionality requirements. Conduct regression tests as required and impact analysis when a defect fix is made.

National AI Awards 2025

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.