At a Glance
- Tasks: Design and enhance data architecture for a bespoke software solution, tackling real business challenges.
- Company: Join a high-profile project with a focus on innovative data solutions.
- Benefits: Competitive daily rate, remote work flexibility, and a chance to shape data strategy.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Be the go-to expert in data architecture and make a significant impact on Phase 2 of the project.
- Qualifications: Hands-on experience with Elasticsearch and large datasets is essential.
The predicted salary is between 46800 - 46800 £ per year.
You will be working as the Data Architect for a high profile bespoke software solution that is entering Phase 2 of the design work. You will design the data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles, setting the vision for the use of data.
It is critical that the Data Architect has hands-on experience in designing Elasticsearch document data models (e.g. indices, documents and fields) and worked with large datasets in the realms of terabytes (including extract, ingest, map, transform data).
You will review the data model for the existing solution and lead on extending the design of for Phase 2 using industry standard data modelling techniques, providing guidance and best practice for the adoption of data standards aligning to the organisation’s data strategy. Your design and outputs will be key to the successful delivery of the Phase 2 solution, working closely with the development and technical teams to support software development and the implementation of the data architecture and design as the go-to person for data related queries.
At this role level, you will:
- Design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy.
- Provide input into data dictionaries.
- Define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture.
Key Tasks:
- Review and analyse the source data (Digital Media and Communications Data), and work with the business and technical representatives to define mapping and transformation.
- Produce data mapping documents, and a data dictionary for the software development team.
- Review and assess existing document data model against candidate application development features to understand the data model gap.
- Design the approach to fulfilling this gap by assessing the suitability of the latest version of IES and extending to work with POLE.
- Produce and present ‘to-be’ logical data model for discussion with project team.
- Define definition of any new Elasticsearch indexes and a document data model that supports the new and existing indexes.
- Produce implementation suggestions on how the indexes support the joining of Elasticsearch queries to fulfil application development features.
- Draft and size the activities required to develop the ‘to-be’ state of the ElasticSearch indexes and document data model.
- Draft and agree Elasticsearch index delivery approach for this Agile software development project, especially if the new Elasticsearch indexes does not support existing data held within the Elasticsarch data store.
- Collaborate with the project team and be the ‘go-to’ person for data related queries.
Essential Skills:
- Experience of designing document data models in Elasticsearch (including indices, documents, fields).
- Experience of designing and working with large datasets in the realms of terabytes (including extracting, ingesting, mapping, transforming data).
Desirable Skills:
- Policing domain knowledge especially around the POLE data model.
- Experience of working with the UKIC Information Exchange Standard (IES).
Data Architect - (SC + NPPV3 Cleared) in Glasgow employer: DATTalent
As a Data Architect with us, you will be part of a dynamic and innovative team dedicated to delivering bespoke software solutions that make a real impact. We offer a collaborative work culture that values your expertise and encourages professional growth through continuous learning opportunities. With competitive compensation and the flexibility of remote work, you'll find a rewarding environment where your contributions are recognised and celebrated.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect - (SC + NPPV3 Cleared) in Glasgow
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We think you need these skills to ace Data Architect - (SC + NPPV3 Cleared) in Glasgow
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at DATTalent, 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 DATTalent. 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 DATTalent
✨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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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at DATTalent!
✨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.
