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

Apply Now

Data Architect

Indotronix Avani UK Ltd
Bristol
1 day ago
Create job alert

Role: Cloud Data Architect
Location: Bristol, London / Hybrid (2 days a week on site, with travel to client sites as required)
RoleType: Permanent / Full-Time
Salary: Depends on experience
Role Summary: As a Senior/Principal Consultant Cloud Data Architect, you will lead the design and implementation of secure, scalable and resilient cloud data platforms in highly regulated environments.
Youll guide architectural decision-making, advise stakeholders, and mentor engineers within Techmodals technical delivery teams. You will work collaboratively across the business and customer domains to deliver successful projects.
Youll be experienced with managing multiple conflicting responsibilities, working across multiple projects simultaneously. As a senior member of the Data Solutions Community within Tech modal, you will contribute to the development and implementation of the strategy to grow the community through new service offerings, skills development, and collaboration across Data Science, Software Development and Data Engineering specialisms. You will lead engagement into our broader business, identifying areas for collaboration, leadership and support, and bringing related workstreams together.
You will also contribute to proposals and bids and support internal Technical Reviews of projects. You will be supporting the business technology strategy as well as enabling growth and awareness of
Techmodal across Digital Intelligence and the broader Client Defence Systems.
You are comfortable providing constructive feedback as well as having a can-do attitude and willingness to get stuck in to ensure we are successful.
Key Responsibilities: Architect cloud-based data platforms and pipelines to enable our Data Engineering, Data Science and Data Exploitation teams to develop and build the solutions to deliver our client requirements. These solutions will need to integrate into the existing client infrastructure. (Azure, AWS, OCI, GCP, MOD Cloud or hybrid).
Lead the design and development of cloud-based data systems (data warehouses, data lakes, streaming platforms, analytics pipelines) using appropriate cloud services and infrastructure.
Lead client engagement activities to elicit technical requirements to enable solution design, architecture and infrastructure definition and lead delivery of cross skilled teams.
Oversee internal and client project data architecture and data governance.
Translate customer business needs and ambiguous problem statements into clear technical designs.
Ensure solutions meet required Government security, governance and regulatory requirements.
Lead customer workshops, solution design activities and stakeholder engagement.
Lead Code Reviews, providing overview of best practice and ensure adherence to regulatory requirements.
Provide architectural oversight throughout project delivery lifecycles.
Mentor and develop junior and mid - level team members.
Contribute to thought leadership and development of our technical delivery community.
Collaborating both within Techmodal and more broadly across Digital Intelligence and Systems to ensure alignment and growth of the Data Solutions community.
Work with Business Development team to provide technical input into bids, including working with specialisms to develop machine learning, large language models and data analytic solutions.
Essential Skills & Experience : You have significant domain experience building and delivering software and data capabilities, and are looking for a new challenge where you can help an ambitious business shape its delivery offerings and position itself as the go-to provider of secure data solutions in a fast, flexible and cost-effective manner.
Experience architecting cloud data platforms in Defence, Government, Healthcare, Nuclear or other highly regulated sectors.
Hands-on expertise implementing analytic, data science and software in various cloud and on-premises ecosystem.
Many examples and stories of where things have been unsuccessful and you have had to adapt, develop a new approach to deliver the technical and project requirements and then apply lessons for your future design and architecture solutions.
Strong understanding of UK Government secure data design principles, including Secure by Design.
Awareness of relevant security & regulatory frameworks (NCSC, ISO 27001, NIST, GDPR).
Ability to explain complex concepts to non - technical audiences.
Ability to influence diverse stakeholders including senior leadership.
Collaborative and inclusive mindset.
Experience with developing people and sharing knowledge and expertise as well as developing training and frameworks to facilitate team development and upskilling .

TPBN1_UKTJ

Related Jobs

View all jobs

Data Architect

Data Architect - London - Databricks - 110k + Bonus

Data Architect (Contract)

Data Architect

Data Architect

Data Architect

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.