DATA ARCHITECT

DATA ARCHITECT

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse and synthesise data to support service improvement and strategy development.
  • Company: Join a forward-thinking organisation focused on data-driven decision making.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Why this job: Make a real impact by transforming data into actionable insights for the organisation.
  • Qualifications: Experience in data analysis, communication skills, and knowledge of data governance.
  • Other info: Collaborative environment with a focus on innovation and career advancement.

The predicted salary is between 28800 - 48000 £ per year.

Analysis and synthesis of data: You will apply basic techniques for the analysis of data from a variety of internal and external sources and synthesise your findings. Your analysis will support both service improvement and wider strategy development, policy, and service design work across the organisation. You will effectively involve a variety of data professionals and domain experts in this analysis and synthesis and will present clear findings that colleagues can understand and use.

Communication: You will communicate effectively with technical and non-technical stakeholders in a variety of roles. You will build strong collaborative relationships with colleagues from front line to senior leadership and host discussions that help define needs, generate new insights, improve data literacy, and promote data culture. You will be an advocate for the team and can manage differing perspectives and potentially difficult dynamics.

Data management: You will understand data governance and how it works in relation to other organisational governance structures and will be a proactive participant in and promoter of Thurrock's data governance practices. You will use your experience to manage data, ensuring adherence to standards and maintaining data dictionaries. You will effectively manage risk to privacy in adherence to national legislation and local practices.

Data modelling, cleansing and enrichment: You will be able to either produce or maintain data models and understand where to use different types of data models, developing Thurrock's business intelligence architecture in collaboration with our Data Engineers and Data Architects. You will also have some understanding in reverse-engineering data models from live systems. You will have understanding of different tools and industry-recognised data-modelling patterns and standards, comparing different data models, communicating data structures using documentation such as schema diagrams.

Data quality assurance, validation and linkage: You will identify appropriate ways to collect, collate and prepare data as set by the Data Architecture team and Data Engineers. This will involve informing the design of front end systems and surveys to ensure enhanced user experience and data quality. You will make judgements as to whether data are accurate and fit for purpose and will support services in maintaining good data quality through the development of data quality auditing systems. You will define and implement batch cleansing processes where appropriate with limited guidance.

Data visualisation: You will use the most appropriate medium to visualise data to tell compelling stories that are relevant to business goals and can be acted upon. Your work will take advantage of a wide variety of data visualisation tools and methodologies, presenting complex information in a way that is engaging, useful and readily intelligible to a range of audiences such as front line staff, managers, and senior leadership. You will present, communicate, and disseminate data appropriately and with influence in settings ranging from operational meetings to high profile strategic partnerships.

IT and mathematics: You will apply your knowledge and experience of IT and mathematical skills, including tools and techniques. You can adopt those most appropriate for the environment and always work in a manner that is sensitive to information security. You will use your experience of using a variety of tools such as MS Excel, Qlik, SQL, R, Python, QGIS, Tableau.

Logical and creative thinking: You will respond effectively to problems in databases, data processes, data products and services as they occur. You will initiate actions, monitor services, and identify trends to resolve problems.

DATA ARCHITECT employer: Deekay Technical Recruitment

As a Data Architect at our organisation, you will thrive in a collaborative and innovative work culture that values data-driven decision-making and continuous improvement. We offer comprehensive professional development opportunities, ensuring you can grow your skills while contributing to impactful projects that shape our services and policies. Located in Thurrock, you will enjoy a supportive environment that champions data governance and quality, making it an excellent place for those passionate about harnessing data for meaningful change.
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Contact Detail:

Deekay Technical Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land DATA ARCHITECT

✨Tip Number 1

Network like a pro! Reach out to data professionals on LinkedIn or at industry events. Building connections can lead to job opportunities that aren't even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data analysis projects, visualisations, and any models you've built. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, so you can impress both technical and non-technical stakeholders.

✨Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the application process smoother for everyone involved.

We think you need these skills to ace DATA ARCHITECT

Data Analysis
Data Synthesis
Communication Skills
Data Governance
Data Management
Data Modelling
Data Cleansing
Data Enrichment
Data Quality Assurance
Data Visualisation
IT Skills
Mathematical Skills
Problem-Solving Skills
Collaboration Skills
Risk Management

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Architect role. Highlight your experience with data analysis, governance, and visualisation tools that match what we’re looking for. This shows us you’ve done your homework and are genuinely interested in the position!

Showcase Your Communication Skills: Since you'll be working with both technical and non-technical folks, it’s crucial to demonstrate your ability to communicate complex ideas clearly. Use examples from your past experiences where you successfully collaborated with diverse teams or presented findings to stakeholders.

Highlight Your Technical Expertise: Don’t forget to mention your proficiency with tools like SQL, Python, and Tableau. We want to see how you’ve used these in real-world scenarios, especially in data modelling and quality assurance. This will help us understand your hands-on experience and technical capabilities.

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details directly and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!

How to prepare for a job interview at Deekay Technical Recruitment

✨Know Your Data Inside Out

Before the interview, dive deep into the data analysis techniques relevant to the role. Brush up on your knowledge of data modelling, cleansing, and visualisation tools like SQL, Python, and Tableau. Being able to discuss specific examples of how you've used these tools in past projects will show your expertise and confidence.

✨Communicate Clearly and Confidently

Since the role involves communicating with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Prepare a few examples where you successfully communicated findings to diverse audiences. This will demonstrate your ability to bridge the gap between data and decision-making.

✨Showcase Your Collaborative Spirit

The job requires building strong relationships across various levels of the organisation. Think of instances where you've worked collaboratively with others, especially in challenging situations. Highlighting your teamwork skills will show that you're not just a data whiz but also a great colleague.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Prepare for questions about how you'd handle data quality issues or manage differing perspectives in a team. Practising these scenarios will help you articulate your thought process and demonstrate your logical and creative thinking skills.

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