Data Domain Architect in Oxford

Data Domain Architect in Oxford

Oxford Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Places for People

At a Glance

  • Tasks: Design and build a cutting-edge data platform while mentoring a dynamic team.
  • Company: Join Places for People, the UK's leading Social Enterprise focused on community spirit.
  • Benefits: Enjoy competitive salary, 35 days holiday, and cashback healthcare plan.
  • Other info: Flexible working options and a commitment to diversity and inclusion.
  • Why this job: Make a real impact in a growing business with innovative data solutions.
  • Qualifications: Experience in data architecture and cloud platforms like Google Cloud.

The predicted salary is between 70000 - 90000 £ 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 are transforming the way PfP consumes data. Having transitioned from On Premise to Google Cloud, we are in the process of building a leading-edge Data Mesh platform. This is an exciting time to join a growing business function, with the opportunity to make your mark defining the architecture of the data platform and the continued development of the data engineering function.

The Data Architect occupies a pivotal position within our data engineering team, driving both strategic and enabling initiatives. This individual is instrumental in ensuring that our data platform supports decentralisation, in line with data mesh principles. Furthermore, the Data Architect guarantees that our data products are interoperable, well-governed, and consistently aligned with both enterprise standards and the overarching data platform.

Key Responsibilities
  • Data Platform Architecture Design: Overseeing the comprehensive design of the data platform's architecture, ensuring it meets current and future needs.
  • Architectural Documentation: Producing clear, detailed architectural documentation and diagrams to facilitate understanding and implementation.
  • Domain-Oriented Ownership: Embedding a domain-oriented ownership model and fostering a Data as a Product (DaP) mindset across all development efforts.
  • Tool and Service Evaluation: Assessing and recommending the most suitable tools, infrastructure, and services to enhance the platform.
  • Architectural Standards: Establishing and maintaining architectural standards, reference architectures, and best practices throughout the team.
  • Governance: Designing solutions that uphold governance, security, and quality requirements.
  • Data Product Design Standards: Ensuring that data products are discoverable, interoperable, and trustworthy, adhering to high standards.
  • Data Pipeline Design: Designing robust data pipelines, including batch, event-driven, and streaming architectures.
  • Operational Considerations: Addressing operational concerns such as security, scalability, performance, observability, and user experience.

The Data Architect works closely and collaboratively with the Principal Data Platform Engineer and the Principal Data Engineer to architect and develop the data platform. In this capacity, the Data Architect acts as a trusted advisor on data strategy and platform direction, providing valuable input on data capabilities and trade-offs, and making significant contributions to the development of the data roadmap. The role also encompasses the mentorship of engineers and analysts in areas such as data modelling, integration, and design best practices, thus strengthening the overall technical capability of the team.

At Places for People, we are committed to a safe working environment so a basic DBS check is mandatory.

Profile Overview

As an experienced and talented Data Solutions Architect, you possess a proven track record alongside hands-on cloud platform expertise spanning Google Cloud Platform, Azure, or AWS. Your innovative approach is characterised by a commitment to researching emerging technologies, ensuring the most effective solutions are identified for any given challenge. When faced with problems, you demonstrate logical thinking, systematically breaking them down into actionable outcomes and documenting your proposals comprehensively.

Ownership and Leadership

You are recognised for taking ownership and responsibility, proactively advancing the data platform while maintaining a vigilant stance to minimise risks consistent with business appetite. Your strong understanding of building robust data mesh architectures is complemented by thorough knowledge of data security and GDPR requirements.

Collaboration and Communication

Your engagement with the broader data community enables you to gain valuable insights into their needs, fostering trusted relationships across IT and throughout the business. Your ability to communicate clearly and concisely with non-technical stakeholders ensures they fully understand the objectives, rationale, and methodology behind proposed solutions.

Drive and Mentorship

Self-motivated and equipped with excellent leadership skills, you consistently drive innovation and actively mentor team members, further enhancing the capabilities and cohesion of your team.

Experience & Skills
  • Experience as a Data Solutions Architect or similar role with a 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 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 communication skills both written and verbal with the ability to explain in detail technical solutions to engineers and at a high level to non-technical executives.

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.

If you meet the criteria and are ready to make the next step in your career then click apply. You will be redirected to our careers site where you can discover more about the role, read a full job description and apply directly to us. 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 they 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 dedicated to creating a supportive and accessible recruitment process for all.

We're happy to work with you to ensure you have the opportunity to perform at your best. For this role, we are open to discussing the possibility of reduced hours, flexible start and finish times or compressed hours.

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.

Data Domain Architect in Oxford employer: Places for People

At Places for People, we pride ourselves on being a supportive and inclusive employer that values the growth and well-being of our employees. With a strong commitment to community spirit, we offer a comprehensive benefits package, including competitive salaries, generous annual leave, and opportunities for professional development. Join us in shaping a thriving workplace where your contributions truly matter and where you can make a meaningful impact in the lives of others.

Places for People

Contact Details:

Places for People Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Domain Architect in Oxford

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 in Oxford

Python
SQL
Problem-Solving Skills
Communication Skills
Automation
Data Engineering
Data Pipeline Development

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.