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- Tasks: Lead the design and deployment of scalable Snowflake data architectures.
- Company: Join a dynamic team in East London focused on innovative data solutions.
- Benefits: Enjoy hybrid work options and opportunities for professional growth.
- Why this job: Be at the forefront of AI/ML integration and data optimisation in a collaborative environment.
- Qualifications: 8-12 years of experience in data architecture and pipeline development required.
- Other info: Mentorship opportunities available to enhance your technical leadership skills.
The predicted salary is between 72000 - 108000 £ per year.
Snowflake data architectures & Data Cloud Deployment
Experience: 8-12 Years
Location: London (Hybrid)
Data Architecture and Deployment: Designing scalable and efficient Snowflake data architectures using the Snowflake Data Cloud Deployment Framework. Supporting self-service platforms, FinOps models, and DataOps practices, including CI/CD pipelines.
Data Pipeline Development: Building robust data pipelines leveraging Snowflake features, SQL, Python, Kafka, and tools like DBT, Matillion, and Fivetran. Working with advanced Snowflake features like Unistore and Dynamic Tables for Change Data Capture (CDC) at the RAW layer and transformations at the INT layer.
Performance Optimization: Ensuring cost-efficient and high-performance Snowflake solutions through effective design and tuning.
AI/ML Integration: Enabling AI/ML capabilities on Snowflake for conversational data interactions and advanced analytics.
Technical Leadership: Providing leadership in service delivery, managing escalations, conducting design reviews, and optimizing complex use cases. Mentoring teams and overseeing enhancements for existing Snowflake solutions.
Customer-Centric Collaboration: Collaborating with field teams, customers, and partners to address design flaws, migrations, and unique customer challenges. Driving product enhancements through partnership with Snowflake's support, product management, and engineering teams.
Monitoring and Support: Managing technical reviews and monitoring ongoing implementations to ensure optimal architecture and resolution of critical issues.
Snowflake Lead Developer in East London employer: RP Recruitment Ltd
Contact Detail:
RP Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Lead Developer in East London
✨Tip Number 1
Familiarise yourself with the latest Snowflake features and updates. Being well-versed in advanced functionalities like Unistore and Dynamic Tables will not only boost your confidence but also demonstrate your commitment to staying current in this rapidly evolving field.
✨Tip Number 2
Network with professionals in the Snowflake community. Attend meetups, webinars, or online forums where you can connect with others who are working in similar roles. This can lead to valuable insights and potential referrals that could help you land the job.
✨Tip Number 3
Showcase your experience with CI/CD pipelines and data pipeline development. Be prepared to discuss specific projects where you've successfully implemented these practices, as this is a key aspect of the role and will set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving scenarios related to performance optimisation and AI/ML integration on Snowflake. Being able to articulate your thought process and solutions will demonstrate your technical leadership capabilities.
We think you need these skills to ace Snowflake Lead Developer in East London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Snowflake data architectures, data pipeline development, and performance optimisation. Use specific examples that demonstrate your expertise in SQL, Python, and tools like DBT and Matillion.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data architecture and your experience with AI/ML integration on Snowflake. Mention how your technical leadership skills can contribute to the company's success and provide examples of past mentoring experiences.
Showcase Relevant Projects: Include a section in your application that outlines key projects you've worked on that are relevant to the role. Highlight your contributions to building robust data pipelines and any experience with Change Data Capture (CDC) and advanced Snowflake features.
Demonstrate Customer-Centric Mindset: Emphasise your ability to collaborate with customers and field teams. Provide examples of how you've addressed design flaws or unique challenges in previous roles, showcasing your problem-solving skills and customer-centric approach.
How to prepare for a job interview at RP Recruitment Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Snowflake and related technologies in detail. Highlight specific projects where you've designed data architectures or built data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
Since the role involves technical leadership, share examples of how you've led teams or projects in the past. Discuss your approach to mentoring others and how you've managed escalations or complex use cases effectively.
✨Emphasise Collaboration Experience
Collaboration is key in this role, so be ready to talk about how you've worked with customers, field teams, and partners. Provide examples of how you've addressed design flaws or unique challenges through teamwork.
✨Prepare for Performance Optimisation Questions
Expect questions on performance tuning and cost-efficiency in Snowflake solutions. Be ready to discuss specific techniques you've used to optimise performance and ensure that your solutions are both effective and economical.
