IoT Data Architect: Data Products & Governance in Warwick

IoT Data Architect: Data Products & Governance in Warwick

Warwick Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Test Triangle

At a Glance

  • Tasks: Design and govern data architectures for IoT products, ensuring quality and compliance.
  • Company: Leading tech firm focused on innovative IoT solutions.
  • Benefits: Attractive salary, flexible working options, and opportunities for skill development.
  • Other info: Join a dynamic team in a fast-paced, impactful environment.
  • Why this job: Shape the future of IoT with your expertise in data architecture and governance.
  • Qualifications: Experience in data architecture and strong modelling skills required.

The predicted salary is between 60000 - 80000 £ per year.

A current-state assessment, target-state OT data architecture, logical data models, source-to-target mapping principles, data product standards, metadata and lineage requirements, normalisation patterns, and governance recommendations.

Proven experience in enterprise or solution data architecture within complex environments.

Strong capability in conceptual, logical and canonical data modelling.

Experience designing data products, standards and governance frameworks.

Experience with time-series, telemetry, event and operational data.

Ability to translate complex technical source structures into business-meaningful, reusable models.

Experience working in regulated, asset-intensive or safety-critical sectors.

IoT Data Architect: Data Products & Governance in Warwick employer: Test Triangle

As an IoT Data Architect at our company, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. We offer competitive benefits, a supportive work culture, and opportunities to work on cutting-edge data products that make a real impact in regulated sectors. Join us to be part of a team that values your expertise and fosters professional development in a location known for its vibrant tech community.

Test Triangle

Contact Details:

Test Triangle Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land IoT Data Architect: Data Products & Governance in Warwick

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Apply Directly through Our Website

When you find a suitable opening like IoT Data Architect: Data Products & Governance at Test Triangle, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace IoT Data Architect: Data Products & Governance in Warwick

Data Architecture
Logical Data Modelling
Source-to-Target Mapping
Data Product Standards
Metadata Management
Data Lineage Requirements
Normalisation Patterns

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Test Triangle, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Test Triangle. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Test Triangle

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.