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- Tasks: Architect and modernise cloud-native data platforms on Google Cloud Platform.
- Company: Join a leading financial services firm with a focus on innovation.
- Benefits: Competitive day rate, hybrid work model, and exposure to cutting-edge technologies.
- Why this job: Make a significant impact on enterprise-wide data strategy and transformation programmes.
- Qualifications: Strong GCP experience and knowledge of data governance and architecture patterns.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking an experienced GCP Data Architect to play a critical role in architecting and modernising cloud-native data platforms on Google Cloud Platform within a major financial services environment. The successful candidate will design scalable, secure, resilient and cost-optimised data solutions supporting high-volume, highly regulated workloads.
This role offers exposure to large-scale transformation programmes, modern engineering practices, mature data governance frameworks and advanced GCP services, with the opportunity to influence enterprise-wide data strategy.
Key Responsibilities- Architect end-to-end data solutions using GCP services including BigQuery, Dataflow, Pub/Sub, Dataproc, GCS and Composer.
- Design conceptual, logical and physical data models across complex risk, operations, analytics and regulatory domains.
- Build scalable ingestion and transformation frameworks with strong emphasis on data quality, lineage, metadata and auditability.
- Identify appropriate cloud architecture patterns for workload deployment and ensure governance standards are upheld.
- Define and enforce security best practices, IAM policies and data protection standards.
- Develop and deploy data pipelines using multiple GCP services.
- Manage data lineage and data quality aspects of data products.
- Define and implement SRE principles including SLIs, SLOs and SLAs for workloads.
- Lead cost optimisation initiatives and support FinOps optimisation for live workloads.
- Review and create FinOps dashboards to monitor cloud spend and efficiency.
- Provide architectural governance, reusable frameworks and technical oversight to engineering teams.
- Support Agile feature teams across the lab environment to optimise performance and reliability.
- Drive cloud modernisation and legacy-to-cloud migration initiatives.
- Conduct proof of concepts and evaluate emerging tools to enhance cloud data capabilities.
- Ensure compliance with regulatory, audit and enterprise data governance requirements.
- Create custom monitoring and alerting solutions using Dynatrace.
- Integrate Looker and enable reporting solutions for end-users within defined guardrails.
- Implement TDD for unit testing and DBB for functional testing.
- Strong experience architecting high-volume ingestion, transformation and analytics pipelines on GCP.
- Deep knowledge of data governance, lineage, metadata management and regulatory controls.
- Proven experience identifying appropriate architecture patterns and enforcing governance standards.
- Experience managing data lineage and quality across enterprise data platforms.
- Strong understanding of SRE principles and workload reliability engineering.
- Experience supporting FinOps optimisation and cloud cost management initiatives.
- Hands-on experience developing and deploying data pipelines using GCP services.
- Experience implementing TDD and DBB testing approaches.
- Strong stakeholder engagement and ability to influence technical direction within cross-functional Agile teams.
- Experience delivering cloud migration or platform modernisation programmes.
- Excellent documentation and communication skills.
- GCP Professional Data Engineer or Cloud Architect certification.
- Experience within BFSI domains such as AML, Fraud, Risk, Finance or Regulatory Reporting.
- Exposure to real-time streaming, MLOps and advanced analytics architectures.
- Experience with observability tooling and cloud cost management frameworks.
Data Architect in Bristol employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Bristol
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Show Off Your Skills
Create a portfolio showcasing your GCP projects and data solutions. This is your chance to demonstrate your expertise in architecting data platforms. Share it during interviews or on LinkedIn to catch the eye of recruiters.
✨Ace the Interview
Prepare for technical interviews by brushing up on your GCP knowledge and problem-solving skills. Practice common interview questions related to data architecture and be ready to discuss your past experiences in detail.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through StudySmarter gives you a better chance to stand out, as we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Data Architect in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with GCP services and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of data solutions you've architected or modernised. We love seeing real-world applications of your skills, especially in high-volume environments like financial services.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Stott and May
✨Know Your GCP Services Inside Out
Make sure you’re well-versed in the specific GCP services mentioned in the job description, like BigQuery and Dataflow. Prepare to discuss how you've used these tools in past projects, focusing on scalability and cost optimisation.
✨Showcase Your Data Governance Knowledge
Be ready to talk about your experience with data governance, lineage, and regulatory controls. Bring examples of how you've enforced governance standards in previous roles, as this is crucial for the financial services environment.
✨Demonstrate Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in architecting data solutions and how you overcame them. Highlight your approach to implementing SRE principles and ensuring workload reliability, as this will show your technical depth.
✨Engage with Stakeholders Effectively
Since strong stakeholder engagement is key, think of examples where you influenced technical direction within cross-functional teams. Be ready to explain how you communicate complex ideas clearly, especially in an Agile setting.
