At a Glance
- Tasks: Design innovative data architectures and lead cloud data sharing initiatives.
- Company: Join HCLTech, a global leader in technology with a diverse workforce.
- Benefits: Enjoy competitive pay, health perks, and opportunities for remote work.
- Other info: Be part of a vibrant team with endless growth potential.
- Why this job: Shape the future of data solutions in a dynamic, impactful environment.
- Qualifications: Experience in cloud data architecture and knowledge of financial services regulations.
The predicted salary is between 70000 - 90000 £ per year.
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
Mandatory Required Skills
- Author end-to-end data architecture designs covering ingestion, storage, processing, and consumption layers.
- Define patterns for cross-cloud and cross-organisation data sharing (e.g., Snowflake Data Sharing).
- Partner with Group Security and Compliance to ensure architectures meet rigorous banking regulations (BCBS 239, GDPR).
- Lead the decommissioning roadmap for on-prem Data apps, mapping legacy dependencies to AWS/Snowflake.
Architectural Experience: Proven track record designing large-scale hybrid cloud data architectures (AWS + Snowflake).
Domain Expertise: Deep understanding of private banking, wealth management, or financial services data regulations.
Frameworks: TOGAF or AWS Certified Data Analytics / Solutions Architect Professional.
Data Solution Architect in City of London employer: HCLTech
HCLTech is an exceptional employer that fosters a dynamic and inclusive work culture, empowering employees to innovate and excel in their roles. With a strong focus on professional development, employees have access to extensive training and growth opportunities, particularly in cutting-edge technologies like cloud and AI. Located in a global hub for technology, HCLTech offers the unique advantage of collaborating with diverse teams across various industries, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Solution Architect in City of 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 HCLTech!
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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 Solution Architect at HCLTech.
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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 HCLTech.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Solution Architect in City of 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 HCLTech, 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 HCLTech. 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 HCLTech
✨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 HCLTech!
✨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.
