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- Tasks: Design and implement innovative Data Lakehouse solutions on cloud platforms.
- Company: Join a leading financial services firm with a focus on data architecture.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a chance to influence cross-functional teams.
- Why this job: Shape the future of data in banking while working across diverse APAC markets.
- Qualifications: 15+ years in data architecture with strong banking industry experience.
The predicted salary is between 80000 - 100000 £ per year.
Key Responsibilities
- Data Architecture & Platform Design: Architect and implement Data Lakehouse solutions on cloud platforms (AWS / Azure / GCP). Design end-to-end data ecosystems covering ingestion, storage, modelling, analytics, and governance. Define data standards, blueprints, and reference architectures across the organisation. Ensure scalable, secure, and compliant data environments aligned to banking and AML requirements.
- Engineering & Delivery: Lead ground-up platform builds, taking projects from concept to production. Oversee data engineering streams, including pipelines, orchestration, quality, lineage, and metadata. Support integration of AI/ML tools into the data platform. Work across multiple project streams and client groups within a broader program.
- Analytics & Consumption Layer: Partner with analytics to ensure data models support Business Intelligence, reporting, AML monitoring, and regulatory use cases. Understand end-to-end flows from source systems to data lake-house to analytics.
- Data Governance & Operating Model: Implement and maintain data governance frameworks, including stewardship, lineage, and quality controls. Support ongoing client environment maintenance, architecture enhancements, and governance compliance.
- Stakeholder Management: Communicate effectively with business, technology, and regional leadership. Translate complex architecture into clear business outcomes. Influence decision-making across cross-functional teams.
- Regional Scope: Work across multiple APAC markets including Thailand, Korea, Japan, Myanmar, India, and the Philippines. Understand regional variations in data, regulation, and infrastructure. Travel required once per quarter or less.
- Broader Architecture & Integration: Contribute beyond data architecture into software, cloud architecture, integration patterns, and enterprise services. Support the setup and operation of cloud environments.
Ideal Candidate Profile:
- 15+ years in data architecture, data engineering, or enterprise data roles.
- Strong exposure to Banking and Financial Services industries.
- Ideally some experience with the Corporate Banking and AML / Financial Crime data domains.
- Proven track record delivering large-scale, multi-stream data programs.
- Experience working in regional APAC environments.
Technical Skills:
- Data Lakehouse architectures (Delta Lake, Iceberg, Hudi).
- Cloud platforms: AWS, Azure, or GCP.
- Data modelling (conceptual, logical, physical).
- ETL/ELT tools, orchestration frameworks, streaming technologies.
- Data governance, metadata management, lineage tools.
- Understanding of AI/ML data integration.
- Comfortable with broader enterprise software, API integration and enterprise architecture concepts.
- Comfortable with some AI tooling.
Soft Skills:
- Strong communication and stakeholder engagement.
- Ability to operate in complex, multi-country environments.
- Comfortable leading both engineering-heavy and governance-heavy workstreams.
Database Architect in Penarth employer: BLAZECORP PTE. LTD.
Contact Detail:
BLAZECORP PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Database Architect in Penarth
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data architecture. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in data architecture. Use platforms like GitHub to share your work. This gives potential employers a taste of what you can do beyond your CV.
✨Ace the Interview
Prepare for interviews by practising common questions related to data architecture and cloud platforms. Be ready to discuss your experience with AWS, Azure, or GCP, and how you've tackled challenges in past projects.
✨Apply Through Us!
Don’t forget to check out our website for job openings! Applying directly through us not only shows your interest but also helps you stand out in the application process.
We think you need these skills to ace Database Architect in Penarth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Database Architect role. Highlight your experience with data architecture, cloud platforms, and any relevant banking or financial services exposure. We want to see how you fit into our world!
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 aligns with our needs. Don’t forget to mention your experience in multi-country environments, as we operate across APAC.
Showcase Your Technical Skills: Be specific about your technical expertise in data lakehouse architectures and cloud platforms like AWS, Azure, or GCP. We love seeing concrete examples of how you've implemented these technologies in past projects, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at BLAZECORP PTE. LTD.
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in data lakehouse architectures and the specific cloud platforms mentioned, like AWS, Azure, or GCP. Brush up on your knowledge of ETL/ELT tools and data governance frameworks, as these will likely come up during the interview.
✨Showcase Your Project Experience
Prepare to discuss your past projects in detail, especially those involving large-scale data programmes. Highlight your role in leading platform builds and how you’ve managed multiple streams of work, as this will demonstrate your capability to handle the responsibilities outlined in the job description.
✨Communicate Clearly and Effectively
Since stakeholder management is key, practice translating complex technical concepts into clear business outcomes. Use examples from your experience where you successfully influenced decision-making across teams, showcasing your strong communication skills.
✨Understand Regional Nuances
Familiarise yourself with the regional variations in data, regulation, and infrastructure across APAC markets. Being able to discuss how these factors impact data architecture and governance will set you apart and show that you’re ready to tackle the challenges of the role.