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

Apply Now

Data Architect

HCLTech
Bristol
8 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect- £500pd- Remote

Responsibilities :

Submit your CV and any additional required information after you have read this description by clicking on the application button.Data Strategy Development: Development: Collaborate with business stakeholders to define data strategy and align it with organizational goals. Develop a roadmap for data architecture and identify opportunities for data optimization and enhancement.Data Modelling and Design: Design and develop conceptual, logical, and physical data models to meet business requirements. Ensure data models are aligned with industry standards, best practices, and data governance policies.Data Integration: Define data integration strategies and implement data integration processes to consolidate and synchronize data from various sources. Develop and maintain data integration pipelines, ensuring data accuracy, consistency, and reliability.Data Governance and Quality: Establish data governance frameworks, policies, and procedures to ensure data integrity, security, and compliance. Implement data quality control measures to identify and resolve data issues.Database Management: Oversee the design, implementation, and management of databases, ensuring optimal performance, scalability, and reliability. Evaluate and recommend appropriate database technologies and tools.Collaboration and Communication: Collaborate with cross-functional teams, including data analysts, business intelligence teams, and software developers, to understand data requirements and provide technical guidance. Communicate data architecture and design decisions effectively to stakeholders.Emerging Technologies: Stay updated with emerging trends and technologies in data management, analytics, and cloud computing. Evaluate and recommend new technologies and tools that can enhance the organization's data capabilities.Essential FunctionsAssist the Technical Architect in designing technical solutions to meet customer requirements in D365 CE.Assist the Technical Architect in designing integrations between D365 applications and legacy/third party systems using multiple technologies, including Azure Logic Apps, Power Apps, Azure Data Factory, Fabric and SSIS.Take part in, and in some cases lead, workshops with the customer to gather technical requirements with a view of ensuring technical solutions meet the customers’ requirements within the guidelines of the technical solution set out by the Technical Architect.Report to the Technical Architect and/or Project Manager on a regular basis with updates on progress, risks/challenges and resourcing requirements.Write Technical Design Documents detailing how technical solutions should be built so development teams can carry out the builds.Write Integration Design Documents detailing how integration solutions should be built so development teams can carry out the builds.Lead the development team, deciding on priorities for delivery and managing resources to deliver solutions in a timely manner to support the projectBe responsible for Quality Assurance of developments delivered by the development team, carrying out code reviews and best practice checks and ensuring quality deliveryAid with regular quality audits for Implementation Programmes related to D365 CEAssist the REM team with deployment of releases to customer environmentsManage development resources during SIT/SAT and UAT cycles to ensure proper levels of support including managing priorities and workloads of the teamAttend regular meetings with the Leads of all technical teams on the project to ensure all teams are working towards a singular goalMentor members of the development team to improve their skillsContribute to Best Practice processesRequired Skills and ExperienceProficient/Skilled at PowerShell developmentProficient/skilled in Dev Ops ALM components/Release processProficient/Skilled at Azure Logic App DevelopmentProficient/Skilled in Azure components such as Azure Key Vault, On-Premise Data Gateway, Azure MonitorProficient/Skilled at Power Apps/DataVerse DevelopmentProficient/Skilled at SQL scripting/development.Detailed understanding of security design principles for both D365 CE and Azure components, including the mechanisms for authorisation and interaction with these components.Skilled at writing detailed technical documentation in a clear and concise manner.A detailed knowledge of DevOps/Git and general rules/processes for development/source controls.Great communication skills to enable clear and consistent communications with both members of the Technical team and also with Functional Consultants and customers’ staffGood leadership skills: must be able to lead a team, manage timelines and priorities, and take responsibility for deliverables.

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

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.