At a Glance
- Tasks: Design and manage data architecture for financial services, ensuring seamless data integration.
- Company: Leading financial services firm with a focus on innovation and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and lead impactful data governance initiatives.
- Why this job: Shape the future of data in finance while working with cutting-edge technologies.
- Qualifications: 10+ years as a Data Architect with strong SQL and cloud tech experience.
The predicted salary is between 54000 - 84000 £ per year.
A minimum of 10 years of experience as a Data Architect.
A minimum of 3 years of experience in the Financial Services sector.
Has excellent understanding of:
- Data Architecture framework, standards, principles and data integration patterns
- Software development, analysis and data modelling, databases, data integration
- Technologies for database, ETL, Business Intelligence, data governance
Minimum 3 years of experience with any of the given tools: Collibra, Solidatus, data.world, or any other data catalog tools in the industry.
Minimum 5 years experience working with cloud technologies AWS, AZURE.
Very strong in SQL, PL/SQL or T-SQL.
Vast experience in data modelling using tools such as Erwin, Power Designer, SQLDBM or Sparx EA.
Minimum 10 years experience in using databases such as Oracle, SQL Server, Snowflake or any other OLATP and OLAP databases.
Minimum 5 years experience with reporting tools Power BI, Business Objects, Tableau or OBI.
Understanding of Master Data Management technology landscape, processes and design principles.
Minimum 3 years of experience with Informatica MDM or any other MDM tools (both customer and product domains).
Understanding of established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization.
Understanding of GDPR and The Data Protection Act 2018.
Understanding of predictive modelling, NLP and text analysis, Machine Learning.
Data mining, visualization, and Machine Learning skills.
Knowledge of programming languages including Python highly desirable.
TOGAF or ISEB accreditation (preferred).
Experienced in architecture design, data modelling, data migration (on premise to cloud, and vice versa) and data integration methodologies.
Whole lifecycle experience from project inception, feasibility, design - through to project delivery.
Proven track record in operating large Data Governance programs and managing enterprise data assets in a complex organisation.
Excellent communication skills with ability to explain technical concepts to non-technical audiences.
Self-starter with the ability to appropriately prioritize and plan complex work in a rapidly changing environment.
Very strong problem-solving skills.
Data Architect in London employer: FalconSmartIT
As a leading employer in the Financial Services sector, we offer Data Architects an exceptional opportunity to thrive in a dynamic and innovative environment in London. Our hybrid work model promotes a healthy work-life balance, while our commitment to employee growth through continuous learning and development ensures that you will advance your career alongside cutting-edge technologies. Join us to be part of a collaborative culture that values diversity, creativity, and the pursuit of excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Architect gig.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with data architecture, cloud technologies, and any cool projects you've worked on. We want to see your passion and expertise shine through!
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to fit their needs. Research their data strategies and challenges, and come prepared with ideas on how you can help them improve. We love seeing candidates who do their homework!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented Data Architects like you, so let’s make it happen!
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience in data architecture frameworks, cloud technologies, and any relevant tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your background in financial services makes you a great fit. Let us know what excites you about working with StudySmarter.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills! Mention your experience with SQL, data modelling tools, and any cloud technologies you've worked with. We love seeing specific examples of how you've tackled complex data challenges.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to submit all your documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at FalconSmartIT
✨Know Your Data Architecture Inside Out
Make sure you brush up on the Data Architecture framework, standards, and principles. Be ready to discuss how you've applied these in your previous roles, especially in the Financial Services sector. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Technical Skills
Prepare to demonstrate your expertise in SQL, PL/SQL, or T-SQL, as well as your experience with cloud technologies like AWS and Azure. Bring examples of projects where you used these skills, particularly focusing on data modelling and integration patterns.
✨Familiarise Yourself with Tools
Since familiarity with tools like Collibra, Solidatus, and Power BI is crucial, make sure you can discuss your hands-on experience with them. If possible, prepare a case study or two where you successfully utilised these tools to solve a problem or improve a process.
✨Communicate Clearly and Confidently
Given the need to explain technical concepts to non-technical audiences, practice articulating complex ideas in simple terms. This will not only showcase your communication skills but also demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
