At a Glance
- Tasks: Design and deliver a geospatial data platform, transforming multiple data sources into a common model.
- Company: Join a dynamic public sector team focused on innovative data solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Work with cutting-edge geospatial data and be part of an agile, multidisciplinary team.
- Why this job: Make a real impact by shaping the future of data architecture in a collaborative environment.
- Qualifications: Experience in data architecture, modelling, and engineering, especially with AWS and Snowflake.
The predicted salary is between 72000 - 88000 £ per year.
We’re looking for an experienced Data Architect / Data Modeller to support the design and delivery of a new geospatial data platform within a large-scale public sector environment. The initial focus will be on delivering a production-grade prototype that brings together multiple data sources into a transformed data layer and common data model, creating the foundations for future applications and wider adoption. This is a hands-on role, ideal for someone who can comfortably work across data architecture, data modelling and data engineering.
Key Responsibilities
- Lead data architecture and modelling activity through Discovery & Design
- Develop conceptual, logical and physical data models
- Understand data sources, structures, relationships and data flows
- Work closely with Data Engineers to translate models into implemented solutions
- Define data structures and modelling approaches across Snowflake and AWS
- Work with complex geospatial/GIS data, including vector, raster and imagery data
- Define source-to-target mappings and transformation requirements
- Establish approaches to data lineage, quality, metadata and governance
- Identify data dependencies, constraints and legacy data challenges
- Collaborate with Architects, Data Engineers, GIS/ESRI specialists, BAs and Product teams
- Ensure the prototype has a clear path towards a scalable, production-grade platform
Essential Experience
- Strong background as a Data Architect, Data Modeller or Data Architect/Modeller
- Strong experience with logical and physical data modelling
- Modern data architecture and data platform design
- Snowflake
- AWS
- Data ingestion, transformation and integration patterns
- Data lineage, data quality, metadata and governance
- Ability to work closely with engineering teams and get into the detail
- Experience working in Agile, multidisciplinary teams
- Comfortable working in environments where requirements and data sources are still being discovered
Desirable
- Geospatial / GIS data experience
- ESRI / ArcGIS
- Experience modernising or integrating complex legacy datasets
- Data lake, lakehouse or modern analytical data platforms
- Production-grade data engineering and transformation frameworks
The Ideal Profile
We’re particularly interested in someone who can bridge data architecture, modelling and engineering, rather than operating purely at a high-level architecture level. You’ll need to be comfortable getting into the detail of the data, working alongside engineers and GIS specialists, and making pragmatic decisions that allow the team to move quickly while building something that can scale. If you have strong Data Architecture/Data Modelling experience across AWS and Snowflake and are interested in working on a complex geospatial data platform, please get in touch.
Locations
Data Architect in Hampshire, Portsmouth employer: RedRock Consulting
As a leading employer in the public sector, we offer a dynamic work environment where creativity and collaboration thrive. Our commitment to user-centred design ensures that you will have the opportunity to make a meaningful impact on public services while benefiting from professional growth and development. Located in a vibrant area, our inclusive culture fosters innovation and supports your career aspirations, making us an excellent choice for those seeking rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Hampshire, Portsmouth
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We think you need these skills to ace Data Architect in Hampshire, Portsmouth
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 RedRock Consulting, 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 RedRock Consulting. 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 RedRock Consulting
✨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
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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.
