Data Architect (London)

Data Architect (London)

London Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead client projects, analyse data, and design innovative data solutions.
  • Company: Join Daintta, a fast-growing team dedicated to protecting the UK through data-driven insights.
  • Benefits: Enjoy a dynamic work environment, competitive pay, and opportunities for personal growth.
  • Why this job: Shape the future of data architecture while making a real impact in the public sector.
  • Qualifications: 5+ years in data roles, strong stakeholder management, and cloud infrastructure experience required.
  • Other info: Hybrid working model with 2-3 days in the office; SC clearance eligibility needed.

The predicted salary is between 48000 - 72000 £ per year.

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.

Whats 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

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Data Architect (London) employer: Different Technologies Pty Ltd.

Daintta is an exceptional employer that fosters a dynamic and values-driven work culture, where your contributions are recognised and respected. As a Data Architect in London, you will have the opportunity to work on impactful projects with government clients, while benefiting from a supportive environment that encourages innovation, personal growth, and collaboration. With a focus on professional development and a commitment to ethical practices, Daintta offers a unique chance to shape the future of data solutions in a rapidly evolving industry.
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Contact Detail:

Different Technologies Pty Ltd. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Architect (London)

✨Tip Number 1

Familiarise yourself with the specific data technologies mentioned in the job description, such as AWS, Azure, and various database technologies. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your suitability for the role.

✨Tip Number 2

Prepare to showcase your experience in leading client projects. Think of specific examples where you successfully managed stakeholder relationships and delivered data solutions that met their unique needs. This will highlight your ability to align technical solutions with business objectives.

✨Tip Number 3

Brush up on your knowledge of data governance and ethical considerations in data handling. Be ready to discuss how you've implemented data governance plans in previous roles, as this is a key responsibility for the Data Architect position.

✨Tip Number 4

Since the role involves working closely with public sector clients, it’s beneficial to understand the specific challenges and requirements of this sector. Research current trends and issues in government data usage to engage in informed discussions during your interview.

We think you need these skills to ace Data Architect (London)

Data Architecture Design
ETL/ELT Concepts
Data Governance Strategies
Cloud Infrastructure (AWS, Azure, GCP)
Database Technologies (Postgres, Apache Hadoop, Elasticsearch, Graph databases)
Complex Query Writing
CI/CD Tooling
DevOps Strategies
Data Modelling Patterns and Standards
Metadata Management
Data Security and Compliance
Interpersonal Skills
Stakeholder Management
Analytical Skills
Problem-Solving Skills
Ethical Data Handling
Project Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data architecture and related fields. Focus on your achievements in previous roles, especially those that align with the responsibilities listed in the job description.

Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also reflects your understanding of Daintta's values. Emphasise your motivation to contribute to their mission of protecting the UK through data-driven insights.

Showcase Relevant Projects: Include specific examples of projects where you've led client delivery or developed data governance plans. Highlight your experience with cloud-based infrastructure and any relevant technologies mentioned in the job description.

Demonstrate Soft Skills: In your application, mention your strong interpersonal skills and ability to manage stakeholder relationships. Provide examples of how you've effectively communicated complex data concepts to both technical and non-technical audiences.

How to prepare for a job interview at Different Technologies Pty Ltd.

✨Understand the Role

Make sure you have a solid grasp of what a Data Architect does, especially in the context of Daintta's work with government clients. Familiarise yourself with key responsibilities like data governance, ETL processes, and cloud-based solutions.

✨Showcase Your Experience

Prepare to discuss your past projects in detail, particularly those involving data platforms, machine learning, and client delivery. Highlight specific examples where you've successfully led projects or solved complex data problems.

✨Demonstrate Stakeholder Management Skills

Be ready to explain how you've effectively communicated with both technical and business stakeholders. Share instances where you've interpreted their needs into actionable data solutions, showcasing your interpersonal skills.

✨Align with Company Values

Daintta values transparency, fairness, and daring. Think about how your personal values align with these and be prepared to discuss how you can contribute to the company's mission and culture during the interview.

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