At a Glance
- Tasks: Design and lead data architecture for impactful government and private sector projects.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Enjoy 25 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Be part of a diverse team driving change with cutting-edge technology.
- Why this job: Shape the future of data solutions while making a real difference.
- Qualifications: Strong background in data architecture, software engineering, and team leadership.
The predicted salary is between 72000 - 88000 £ per year.
Locations: Competitive salary and package (Depending on level of experience)
‘Please Note: Any offer of employment is subject to satisfactory BPSS and DV security clearance which typically requires 10 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of being a British passport holder with no dual nationalism at the point of application.
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.
We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too.
Define the architecture for high profile, public facing, government, and private sector projects, including providing architectural and technical leadership.
- Define data strategy, data migration approach, data integration approach, data models and data design for any given client.
- Investigate and thoroughly understand the current live applications and systems at any given client site.
- Ensure that the scope, context and constraints are documented and accepted.
- Define and document strategies, standards and guidelines to direct the build and deployment of systems.
- Ensure that agreed upon architectural principles and standards are applied to the finished system or product.
- Define a strategic Data Model across the enterprise and products.
- Propose technical solutions for storing data in distributed systems.
- Create a model that works for small micro-services as well as big-data storage solutions in line with national infrastructure standards and frameworks.
- Govern and support technical delivery of those solutions.
- Line manage, mentor, train and develop others.
Qualifications:
- You will have a strong architecture and software engineering background, have led teams of engineers or other architects and be able to contribute to our internal data strategy and thought leadership.
- Experience with defining data strategy, data migration approach, data integration approach.
- Experience being a hands on data architect (only when needed with programme languages Java, Scala and Python).
- Experience with Big Data technologies.
- Experience with Microsoft Azure and services.
- Experience with both open source and vendor data platforms.
- Experience with data architecture, architectural concepts, methodologies and approaches.
- Experience with microservices architecture.
- Experience of designing for both structured and unstructured data.
- An understanding of non-functional drivers for design.
- Experience with data modelling.
- Strong background in Java and REST Services - ability to design solutions as well as review code.
As a technology consultancy, we look for people who can deliver both exceptional technical solutions and work as true partners to the organisations we support. To do this you must be able to communicate effectively verbally and in writing.
What’s in it for you: At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!
Summary Location: London Type: Full time
Data Architect / BI Architect in London employer: Accenture
Accenture is an exceptional employer, offering a dynamic work culture in London that fosters innovation and collaboration. With competitive benefits like 30 days of vacation, access to fitness classes, and private medical insurance, employees are supported in achieving a healthy work-life balance while also having ample opportunities for professional growth and development within the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect / BI Architect in London
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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 Accenture.
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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 Accenture, 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 Accenture. 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 Accenture
✨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 Accenture!
✨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.
