At a Glance
- Tasks: Design and implement data solutions while collaborating with cross-functional teams.
- Company: Join a leading bank undergoing a major transformation in the data sector.
- Benefits: Enjoy hybrid work options and competitive daily rates.
- Why this job: Be at the forefront of cutting-edge technology and make a real impact.
- Qualifications: Experience in agile delivery, solution architecture, and data processing is essential.
- Other info: This is a 12-month contract role based in London.
The predicted salary is between 54000 - 84000 £ per year.
Type: Contract
Duration: 12 months
Location: London, UK (Hybrid)
Daily rate: DOE
Description: We are working with a large, established client in the Banking sector who are looking to welcome Senior Data Solutions Architects onto the team as they undergo a large transformation program.
Key responsibilities:
- Take ownership of designing solution architectures, crafting strategic roadmaps for evolution, and overseeing the successful implementation of technology solutions that align with business objectives while adhering to the bank's standards and policies.
- Shape and execute solution designs, ensuring they meet functional requirements and align with long-term technology roadmaps.
- Oversee architecture management, driving continuous refinement and improvement of systems.
- Work with cutting-edge data technology stacks and cloud infrastructure, balancing foundational data solutions with emerging AI and ML capabilities.
- Collaborate with delivery teams and engineers to define project scopes and technical blueprints, facilitating smooth delivery of new functionalities in an agile environment.
- Assess system designs and operational performance, identifying opportunities for optimization and efficiency.
- Engage with cross-functional teams including Product Owners, Enterprise Architects, and Engineers to ensure solutions are both effective and aligned with internal standards.
Qualifications:
- Agile Delivery Expertise - Extensive experience in driving technical solutions within agile frameworks.
- Solution Architecture Proficiency - Demonstrated success in designing robust solution architectures, particularly in data platforms and complex pipelines, preferably within cloud environments (AWS, GCP, Azure).
- Deep Application Design Knowledge - Expertise in architecting low-latency, scalable solutions to meet performance, availability, and resilience needs.
- Data Architecture Mastery - Skilled in developing batch and streaming data pipelines across on-premises and cloud ecosystems, with a strong grasp of data processing workflows (ETL/ELT, orchestration) and database technologies (relational, NoSQL).
- Analytical Problem-Solver - Ability to tackle complex challenges with strategic and innovative solutions that ensure scalability and reliability.
- Strong Communicator & Collaborator - Able to influence and engage stakeholders with effective communication and interpersonal skills.
- CI/CD & Automation Experience - Comprehensive understanding of automated deployment pipelines.
Does this seem like an exciting opportunity? Apply today!
Senior Data Architect employer: Glocomms
Contact Detail:
Glocomms Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect
✨Tip Number 1
Familiarise yourself with the latest trends in data architecture, especially in cloud environments like AWS, GCP, and Azure. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the banking sector or those who have experience as Data Architects. Engaging in conversations on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data solutions. Be ready to explain your role, the challenges faced, and how you overcame them, as this will showcase your problem-solving skills and experience in agile environments.
✨Tip Number 4
Highlight your collaboration skills by thinking of examples where you've worked with cross-functional teams. Being able to communicate effectively with Product Owners and Engineers is crucial, so prepare anecdotes that illustrate your ability to engage and influence stakeholders.
We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Senior Data Solutions Architect position. Tailor your application to highlight relevant experience in agile delivery, solution architecture, and data architecture.
Craft a Tailored CV: Your CV should reflect your expertise in designing robust solution architectures and working with cloud environments. Emphasise your experience with data platforms, complex pipelines, and any relevant technologies like AWS, GCP, or Azure.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Highlight specific projects where you've successfully implemented technology solutions that align with business objectives, showcasing your analytical problem-solving skills.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and professional, as strong communication skills are essential for this role.
How to prepare for a job interview at Glocomms
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with various data technologies and cloud platforms like AWS, GCP, or Azure. Highlight specific projects where you designed solution architectures or optimised data pipelines, as this will demonstrate your proficiency in the key areas required for the role.
✨Emphasise Agile Delivery Experience
Since the role requires extensive experience in agile frameworks, be ready to share examples of how you've successfully driven technical solutions in an agile environment. Discuss your role in cross-functional teams and how you contributed to delivering projects on time.
✨Demonstrate Problem-Solving Skills
Prepare to tackle hypothetical scenarios or case studies during the interview. Show how you approach complex challenges and provide innovative solutions that ensure scalability and reliability, which are crucial for a Senior Data Architect.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and concisely, especially when discussing technical concepts. Be ready to engage with stakeholders and explain how your solutions align with business objectives.