At a Glance
- Tasks: Lead the design and optimisation of our data architecture for impactful community projects.
- Company: Join Places for People, a leading UK Social Enterprise focused on community spirit.
- Benefits: Enjoy competitive salary, 35 days holiday, and perks like healthcare cashback and discounts.
- Other info: Inclusive workplace with guaranteed interviews for disabled and neurodiverse candidates.
- Why this job: Make a real difference in communities while working with cutting-edge data technologies.
- Qualifications: Experience as a Data Architect with strong skills in Google Cloud and data modelling.
The predicted salary is between 36000 - 60000 £ per year.
At Places for People, we hire People, not numbers! Experience and track record are important, but we’re more interested in hiring someone that embodies our People Promises. That’s someone that does the right thing, is enthusiastic and motivated to grow, believes in Community spirit, is respectful and enjoys their work. As the UK’s leading Social Enterprise, we’re dedicated to creating inclusive and thriving Communities for both our Customers and Employees.
The Data and Platform Engineering team are the foundation for the Data Office function. Responsible for designing, building, and maintaining PfP’s data platform, we extract data from source, transform it into a usable format, load it into consumer models and marts, and build and manage the infrastructure to do all this work. Data Engineering is transforming the way PfP consumes data, transitioning from On Premise to Google Cloud. This is an exciting time to join a growing business function and gain hands-on experience working with market-leading technology such as BIG Query, Looker, Data Flow, and more.
More About Your Role
The Data Architect is a leading role in our data engineering team. Responsible for overseeing the end-to-end design and optimisation of our data architecture, the primary focus will be to lead the design, documentation (HLD), and development of our data architecture ensuring that it aligns with business objectives, scalability requirements, and industry best practice. The Data Architect will ensure that Database/Data Model designs (conceptual, logical, and physical) are documented and optimised for storage, retrieval, query performance, and cost. The Data Architect will also ensure that Data Governance policies and best practices are adhered to and that we have a high level of compliance to legislation/standards, promoting data quality and security. The Data Architect will develop and document data integration strategies to facilitate seamless data flow in and out of the data platform with a key focus on quality, integrity, reliability, and robustness. The role will require close links to be established into the Infrastructure and Application Architect functions to ensure that the Data Office is kept abreast of changes and that data engineering requirements are built into the fabric of PfP’s overall architecture.
More About You
You are an experienced and talented data solutions architect with a proven track record and hands-on experience with Google Cloud Platform, Azure, or AWS. You are an innovative thinker who is used to researching new technologies to find the best solution to a challenge. You approach problems logically, breaking them down into deliverable outcomes and documenting your proposals via High Level Designs in a comprehensive manner. You will also take a protective stance to ensure that risks to the platforms are minimised in line with business appetite and are well versed in data security/GDPR requirements. You are self-motivated with excellent leadership skills, capable of driving innovation and mentoring team members.
At Places for People, we prioritise our dedication to safer recruitment. Therefore, a basic DBS check is mandatory for this position.
Experience & Skills
- A proven track record of working as a Data Architect or similar role with strong track record.
- Good understanding of Google’s Big Query platform.
- Expertise in data platform architecture, configuration, and optimisation with a focus on MPP databases like Google BigQuery.
- Strong knowledge of data modelling, schema design, ERD and optimising for query performance.
- Strong knowledge of database design principles, data warehousing concepts, and ETL/ELT processes.
- Exceptional problem-solving and analytical skills with an eye for identifying opportunities for improvement.
We are a large diverse and ambitious business, which will give you all the challenge you could wish for. We know that there’s always more we can do to make you smile, that’s why we offer a comprehensive benefits package with each role, yours will include:
- Competitive salary, with a salary review yearly
- Pension with matched contributions up to 7%
- Excellent holiday package – 35 days annual leave with the option to buy or sell leave
- Cashback plan for healthcare costs – up to £500 saving per year
- A bonus scheme for all colleagues at 2%
- Training and development
- Extra perks including huge discounts and offers from shops, cinemas and much more.
What’s next?
If you meet the criteria and are ready to make the next step in your career then apply following our simple 5-minute application process, upload a CV and a supporting statement which demonstrates how you meet the requirements of the role. If you have any questions please email the recruitment team.
As part of our commitment to diversity and inclusion, we offer a guaranteed interview to candidates who are disabled, neurodiverse, or have served in the Armed Forces, provided you meet the essential criteria for the role. If you would like to be considered under this scheme, please indicate this in your application. We are committed to creating an inclusive and accessible recruitment process. If you require any reasonable adjustments to support your application or interview experience, please let us know. We’re happy to work with you to ensure you have the opportunity to perform at your best.
We encourage you to apply immediately to avoid disappointment as we may bring the closing date forward. We support use of mobile devices and majority of drives to store CVs. If you are a recruitment agency please note we operate a PSL and do not take cold calls.
Safeguarding
At Places for People, safeguarding is everyone’s responsibility. We are committed to creating safe communities for our customers and colleagues by protecting children, young people, and adults at risk from harm, abuse, and neglect. We follow robust safeguarding policies and procedures, ensuring all employees, volunteers, and contractors uphold the highest standards of safeguarding and accountability. Our recruitment process includes pre-employment checks, including Disclosure and Barring Service (DBS) checks where applicable, to promote a safe and secure working environment. By joining Places for People, you are expected to contribute to our safeguarding culture, following our policies and reporting concerns to protect those in our communities.
Armed Forces
We are proud to support the Armed Forces Covenant. Places for People will guarantee an interview for any candidate who is serving or has formerly served in the Armed Forces, as a reservist, armed forces veteran (including the wounded, injured and sick), cadet instructor and military spouse/partner and who meets the essential criteria for the vacancy.
Disability Confident
We are proud to be a member of the Disability Confident scheme certified as Level 2 Disability Confident Employer. Disabled applicants who meet the essential criteria for a vacancy will be guaranteed an interview. Neurodivergent applicants who meet the criteria for a vacancy will be guaranteed an interview.
Data Domain Architect employer: Places for People
Places for People in Birmingham is an excellent employer, offering a vibrant work culture that prioritises community engagement and exceptional service delivery. With flexible working arrangements and health memberships, employees are supported in achieving a healthy work-life balance while also having access to numerous growth opportunities within the leisure and hospitality sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Domain Architect
✨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 Places for People!
✨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 Domain Architect at Places for People.
✨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 Places for People.
✨Apply Directly through Our Website
When you find a suitable opening like Data Domain Architect at Places for People, 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 Domain Architect
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 Places for People, 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 Places for People. 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 Places for People
✨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 Places for People!
✨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.