Data Architect

DAINTTA
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer Azure Architecture and Platforms

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

Data Engineer DV Cleared

Data Engineer

Data Engineer BI


Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber, Telecommunications and Data. We are seeking a talented and motivated Data Architect to join our team and contribute to our mission of protecting the UK through data-driven insights and solutions. As a Data Architect, you will work closely with our public sector clients and project teams to collect, analyse and interpret complex data sets, providing valuable insights that support evidence-based decision-making.

Key Responsibilities

  • Leading client projects and providing subject matter expertise
  • Assessing your clients' technical needs and understanding how their needs are different to wants and managing clients' stakeholders relationship appropriately
  • Identifying data sources, data extraction, transformation, and loading (ETL/ELT) concepts and methods
  • Developing suitable data governance and provenance strategies and how they will be implemented in data architecture
  • Designing and evaluating on-premise, cloud-based and hybrid data solutions (including providing review and guidance on testing aspects, identification of risks and proposing and implementing their mitigations)
  • Modelling, structuring and storing data along with their data flows for uses including — but not limited to — analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations
  • Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different data models.
  • Designing appropriate metadata repositories and present changes to existing metadata repositories
  • Understand a range of tools for storing and working with metadata
  • Designing data architecture that deals with problems spanning different business areas, producing appropriate design patterns (often supporting data science, business intelligence and business reporting purposes)
  • Applying ethical principles in handling data
  • Ensuring appropriate storage of data in line with relevant legislation
  • Building in security, compliance, scalability, efficiency, reliability, fidelity, flexibility and portability
  • Accurately delivering high quality work to agreed timelines and taking the initiative and knowing how to `jump straight in'
  • Supporting client engagements, including pitches and presentations
  • Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future
  • Representing us and our core values: Transparent, Fair and Daring 

Skills/Knowledge

  • You have 5+ years of degree level industry experience in data related industries (e.g. as a data engineer, data analyst, data scientist) and more recently as a data architect, preferably in a consultancy or industry setting
  • You have proven experience in listening to the needs of technical and business stakeholders, interpreting them into data problems and/or engineering problems and suitably designing data architectures
  • You have led client delivery across a range of projects for delivering data platforms, e.g. data analysis, ETL/ELT, machine learning pipelines/deployments, business intelligence reporting, data security. You have proven experience in their technologies
  • You have developed data governance plans that are in line with ethical considerations, (cyber)security & relevant legislation, and designed their implementation
  • You have experience working on cloud-based infrastructure (e.g. AWS, Azure, GCP)
  • You have demonstrable continuous personal development with relevant data certifications and accreditations
  • You have experience with CI/CD tooling to analyse, build, test and deploy code and proven experience in their technologies
  • You understand deployment and DevOps strategies (on-prem and cloud) to support the design of data architectures that will be deployed
  • You have experience in database technologies including writing complex queries against their (relational and non-relational) data stores (e.g. Postgres, Apache Hadoop, Elasticsearch, Graph databases), and designing the database schemas to support those queries
  • You have a good understanding of coding best practices & design patterns and experience with code & data versioning, dependency management, error handling, logging, data monitoring, data validation and alerting
  • You have strong interpersonal skills
  • You have UK security clearance at SC or above or are eligible and willing to go through clearance

Location?

Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required.

What's in it for you?

You will be joining the company at Daintta "Manager" grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations.

Security Information

Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To qualify, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see https://www.gov.uk/government/organisations/united-kingdom-security-vetting 

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.