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 collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and enhance your skills in a fast-paced environment.
- Why this job: Shape the future of data in finance and drive impactful projects.
- Qualifications: 10+ years as a Data Architect with strong SQL and cloud tech experience.
The predicted salary is between 72000 - 108000 £ per year.
Job Location: London, UK / Hybrid
Job Type: FTE
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 OLAP/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 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
✨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 data game. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects or contributions to open-source initiatives. This gives potential employers a tangible look at what you can do, especially in areas like data modelling and integration.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on your problem-solving skills and how you’ve tackled challenges in past roles. Remember, they want to see how you think, so don’t hold back!
✨Apply Through Us!
We’ve got your back! Check out our website for the latest Data Architect roles. Applying through us not only gets your application seen but also connects you with a community that understands your journey in the data world.
We think you need these skills to ace Data Architect
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 like Collibra or Informatica MDM. We want to see how your skills match what we're looking for!
Showcase Your Experience:Don’t just list your past jobs; showcase your achievements! Use specific examples that demonstrate your expertise in data modelling, integration, and governance. We love seeing how you've made an impact in previous roles.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about the Data Architect position and how your background in financial services makes you a great fit. We appreciate a personal touch that shows us who you are.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at FalconSmartIT
✨Know Your Data Architecture Inside Out
Make sure you have a solid grasp of data architecture frameworks, standards, and principles. Brush up on data integration patterns and be ready to discuss how you've applied these in your previous roles, especially in the financial services sector.
✨Showcase Your Technical Skills
Be prepared to demonstrate your expertise in SQL, PL/SQL, or T-SQL. Have examples ready that highlight your experience with cloud technologies like AWS or Azure, and tools such as Collibra or Informatica MDM. This is your chance to shine!
✨Communicate Clearly
Since you'll need to explain complex technical concepts to non-technical audiences, practice simplifying your explanations. Use relatable analogies or examples from your past work to make your points clear and engaging.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills. Think of specific challenges you've faced in data migration or governance programs and how you tackled them. Highlight your self-starter attitude and ability to prioritise tasks in a fast-paced environment.
