At a Glance
- Tasks: Design and optimise our data platform architecture while mentoring engineers.
- Company: Join Places for People, the UK's leading Social Enterprise focused on community and inclusivity.
- Benefits: Competitive salary, 35 days leave, pension matching, and cashback healthcare plan.
- Other info: Flexible working options and a commitment to diversity and inclusion.
- Why this job: Shape the future of data engineering in a dynamic and supportive environment.
- Qualifications: Experience with cloud platforms and strong problem-solving skills required.
The predicted salary is between 44000 - 84000 £ per year.
Salary: £44,000 - 84,000 per year
Requirements
- Experienced Data Solutions Architect or similar, with a strong track record.
- Hands-on cloud platform expertise across Google Cloud Platform, Azure, or AWS.
- Good understanding of Google BigQuery.
- Expertise in data platform architecture, configuration, and optimisation, particularly with MPP databases such as Google BigQuery.
- Strong knowledge of data mesh principles, database design, data warehousing concepts, and ETL/ELT processes.
- Exceptional problem-solving and analytical skills, with an eye for identifying opportunities for improvement.
- Excellent written and verbal communication skills, with the ability to explain technical solutions to both engineers and non-technical executives.
- Strong understanding of data security and GDPR requirements.
- A basic DBS check is mandatory for this role.
Responsibilities
- Oversee the design of our data platform architecture, ensuring it meets current and future needs.
- Produce clear architectural documentation and diagrams to support understanding and implementation.
- Embed a domain-oriented ownership model and promote a Data as a Product mindset across development efforts.
- Assess and recommend suitable tools, infrastructure, and services to improve our platform.
- Establish and maintain architectural standards, reference architectures, and best practices across the team.
- Design solutions that uphold governance, security, and quality requirements.
- Ensure our data products are discoverable, interoperable, and trustworthy.
- Design robust data pipelines, including batch, event-driven, and streaming architectures.
- Address operational concerns such as security, scalability, performance, observability, and user experience.
- Work closely with the Principal Data Platform Engineer and Principal Data Engineer to architect and develop our data platform.
- Act as a trusted advisor on data strategy and platform direction, including data capabilities, trade-offs, and roadmap development.
- Partner with domain squads to design robust data products and provide architectural guidance.
- Mentor engineers and analysts in data modelling, integration, and design best practices.
Technologies
- AWS
- Architect
- Azure
- BigQuery
- Cloud
- ETL
- Support
- Security
We are Places for People, the UK’s leading Social Enterprise, and we focus on hiring people, not numbers. We are committed to creating inclusive and thriving communities for our customers and employees, and we value people who do the right thing, are enthusiastic, motivated to grow, enjoy community spirit, and are respectful. Our Data and Platform Engineering team forms the foundation of our Data Office function and is responsible for designing, building, and maintaining our data platform as we continue our journey from on-premise systems to Google Cloud and build a leading-edge Data Mesh platform. This is an exciting opportunity to join a growing business function and help shape the architecture and future development of our data engineering capability. We offer a competitive salary with yearly reviews, pension matched up to 7%, 35 days annual leave with the option to buy or sell leave, a cashback healthcare plan, a 2% bonus scheme, training and development, and a range of retail and leisure discounts. We are a large, diverse, and ambitious business committed to a safe, supportive, inclusive, and accessible recruitment process, with flexible working options available.
Data Domain Architect in London employer: Sivara GmbH
At Places for People, we pride ourselves on being an exceptional employer that values inclusivity and community spirit. As a Data Domain Architect, you will be part of a dynamic team dedicated to shaping the future of our data engineering capabilities while enjoying a competitive salary, generous annual leave, and extensive training opportunities. Our commitment to employee growth, coupled with a supportive work culture and flexible working options, makes us an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Domain Architect in London
✨Get Involved in Data Science Meetups
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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.
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We think you need these skills to ace Data Domain Architect in London
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 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!
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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.
