At a Glance
- Tasks: Design and implement cutting-edge data architecture solutions for high-profile projects.
- Company: Join a dynamic team supporting UK government and defence initiatives.
- Benefits: Competitive salary, flexible working, and opportunities for contract extension.
- Other info: Hybrid role with excellent career growth and exposure to advanced technologies.
- Why this job: Shape enterprise data architecture and make a real impact in a collaborative environment.
- Qualifications: Degree in STEM or related field with strong data architecture experience.
The predicted salary is between 36000 - 76000 £ per year.
Salary: £36,000 - 76,000 per year
Requirements
- Degree in STEM, Computer Science, Information Systems, Data Science, or similar (Masters preferred)
- Strong experience in data architecture, database design, or data engineering
- Proven experience delivering data-intensive systems end to end
- Strong SQL skills and experience with relational databases (e.g. Oracle, SQL Server, PostgreSQL, MySQL)
- Experience with data warehouse and lakehouse architectures
- Experience designing and governing data models and data flows
- Experience establishing and working within data governance frameworks
- Strong understanding of data security and compliance requirements
- Excellent communication, problem-solving, and documentation skills
- Experience with cloud data platforms (AWS, Azure, or GCP) (desirable)
- Exposure to big data technologies (Hadoop, Spark, Kafka) (desirable)
- Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) (desirable)
- Experience with API integration and microservices data flows (desirable)
- Familiarity with AI/ML data pipelines or analytics platforms (desirable)
- Experience using UML/SysML (desirable)
Responsibilities
- Design and implement enterprise data architecture solutions, including databases, data warehouses, and data lakes
- Develop and maintain conceptual, logical, and physical data models
- Define and enforce data management standards, policies, and best practices
- Work closely with data engineers to design and optimise ETL/ELT pipelines for structured and unstructured data
- Ensure data quality, consistency, and security across platforms
- Collaborate with business and technical stakeholders to translate data requirements into technical solutions
- Oversee data integration across cloud and on-prem environments
- Support data governance initiatives including metadata management, MDM, and compliance
- Evaluate and recommend new data technologies, tools, and platforms
- Provide technical leadership and guidance to data engineering and analytics teams
Technologies
- AI
- Airflow
- API
- AWS
- Architect
- Azure
- Big Data
- Cloud
- Data Warehouse
- ETL
- GCP
- Hadoop
- Informatica
- Support
- Kafka
- MySQL
- Oracle
- PostgreSQL
- SQL
- Security
- Spark
- Talend
- UML
- microservices
We are seeking an experienced Data Architect to support a high-profile, security-critical programme within a UK government/defence environment. This role focuses on the design, implementation, and governance of enterprise-level data architectures, ensuring data is accurate, secure, accessible, and fit for purpose across complex systems. You will work in a collaborative environment with experienced technical teams and have the opportunity to shape and influence enterprise data architecture. This position is hybrid, primarily onsite in Edinburgh or Newcastle, with other locations considered. We offer a competitive rate with flexibility for the right candidate and a strong likelihood of contract extension.
Data Architect - Newcastle Upon Tyne employer: Sivara GmbH
As a leading employer in the data architecture field, we offer a dynamic and collaborative work culture that prioritises innovation and professional growth. Our Newcastle Upon Tyne location provides a unique opportunity to engage with high-profile projects within a security-critical environment, while our commitment to employee development ensures you will have access to ongoing training and advancement opportunities. With competitive salaries and a flexible hybrid working model, we are dedicated to creating a rewarding and meaningful workplace for our team members.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect - Newcastle Upon Tyne
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sivara GmbH!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect - Newcastle Upon Tyne at Sivara GmbH.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect - Newcastle Upon Tyne at Sivara GmbH, 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 Data Architect - Newcastle Upon Tyne
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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!
✨Showcase Your Projects
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 Sivara GmbH!
✨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.
