At a Glance
- Tasks: Define and govern data architecture, standards, and governance framework for the organisation.
- Company: Join a forward-thinking IT team focused on data excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and innovation in data management.
- Why this job: Shape the future of data strategy and make a significant impact across the organisation.
- Qualifications: Experience in data architecture and governance, with strong leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
We are recruiting for a Data Architect to join our IT team. This role will be responsible for defining and governing the organisation-wide data architecture, data standards, and data governance framework. The role sets the target-state architecture and roadmap for the enterprise data platform, and provides architectural guidance and assurance to the BI and Data Engineering teams. The role is focused on strategy, design authority, governance, and stakeholder alignment rather than hands-on development or platform deployment.
Responsibilities include:
- Strategy & Framework Development
- Define and maintain a comprehensive data governance framework.
- Define data governance policies, standards, and procedures.
- Governance Leadership
- Establish and lead a Data Governance Council.
- Collaborate with data owners, stewards, custodians, and the BI and Data Engineering teams across departments.
- Data Quality & Compliance
- Define, oversee, and monitor data quality standards and metrics.
- Ensure compliance with data protection regulations (e.g., GDPR, CCPA).
- Technology & Tools
- Evaluate and recommend data governance and platform technologies, and define the standards and patterns for their use.
- Set the architectural direction for data platform capabilities including storage, integration, modelling, orchestration, and analytics.
- Provide design authority and architectural assurance to the BI and Data Engineering teams who implement and support data tooling and services.
- Training & Culture
- Promote a data-driven culture through training, awareness, and adoption of agreed data standards and governance practices.
- Help develop role-specific training and knowledge, e.g., responsibilities and procedures for data owners and custodians across departments.
Data Architect / BI Architect in London employer: Transact
Join our dynamic IT team as a Data Architect, where you will play a pivotal role in shaping the organisation's data strategy and governance framework. We pride ourselves on fostering a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth and development. Located in a vibrant area, our company provides a supportive environment that encourages a data-driven mindset, ensuring that your contributions are both meaningful and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect / BI Architect in London
✨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 Transact!
✨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 / BI Architect at Transact.
✨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 Transact.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect / BI Architect at Transact, 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 / BI 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!
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 Transact, 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 Transact. 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 Transact
✨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 Transact!
✨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.
