At a Glance
- Tasks: Lead the design of enterprise-wide data architecture and modernise existing data environments.
- Company: Join a forward-thinking organisation prioritising data capability and innovation.
- Benefits: Competitive salary, benefits package, and flexible working options.
- Other info: Collaborative environment with opportunities for professional growth and influence.
- Why this job: Shape the future of data architecture and make a real impact on business strategy.
- Qualifications: Extensive experience in data architecture and strong cloud platform design skills.
The predicted salary is between 70000 - 90000 £ per year.
- Enterprise Data Architect
- London (4 days onsite 1 working from home)
- Up to 120,000 + Benefits
I'm working with an organisation investing heavily in its data capability and looking to appoint an experienced Enterprise Data Architect to lead the design and evolution of its enterprise-wide data landscape.
This is a senior strategic position where you'll work closely with technology and business leaders to shape data architecture, define standards and ensure the organisation has a scalable, secure and future-ready data platform.
You'll play a key role in modernising existing data environments, designing cloud-based solutions and driving best practice across data governance, modelling and analytics.
Key responsibilities
- Define and develop the enterprise data architecture strategy.
- Design scalable data warehouse, lakehouse and cloud data solutions.
- Establish data governance, quality and architectural standards.
- Work closely with senior stakeholders to align technology with business objectives.
- Lead architecture decisions across data platforms, integration and analytics.
- Identify opportunities to simplify existing platforms while improving scalability and performance.
- Evaluate emerging technologies and recommend improvements to the wider data estate.
What we're looking for
- Extensive experience in Enterprise Data Architecture or a similar strategic data leadership role.
- Strong background designing enterprise-scale cloud data platforms.
- Experience with Azure, Databricks and modern data architecture principles.
- Strong understanding of data modelling, governance and data quality frameworks.
- Experience delivering large-scale data transformation initiatives.
- Knowledge of technologies such as SQL, Py Spark, Snowflake, Kafka and modern BI platforms including Power BI or Tableau.
- Excellent communication skills with the ability to influence senior technical and business stakeholders.
This is an opportunity to join an organisation where data is a strategic priority and where you'll have genuine influence over the future direction of its data architecture.
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Enterprise Data Architect employer: LGBT Great
LGBT Great is an exceptional employer that prioritises inclusivity and employee well-being, making it a fantastic place for professionals in the insurance sector. With a strong focus on career development, employees benefit from comprehensive training opportunities and a supportive work culture that values collaboration and innovation. Located in a vibrant area, the company also offers competitive salaries, private medical insurance, and generous annual leave, ensuring a rewarding work-life balance.
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We think this is how you could land Enterprise Data Architect
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We think you need these skills to ace Enterprise Data 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LGBT Great. 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 LGBT Great
✨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
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 LGBT Great!
✨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.
