At a Glance
- Tasks: Design and implement scalable Snowflake cloud data platforms for enterprise clients.
- Company: Join a leading tech firm focused on data innovation and modernisation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and leadership.
- Why this job: Be a key player in transforming data strategies for top-tier clients.
- Qualifications: 7-10 years in data architecture with strong Snowflake expertise required.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- The successful candidate will bring deep expertise in designing and implementing Snowflake‐based cloud data platforms that are scalable, secure, and business‐aligned.
- Proven expertise in designing and implementing Snowflake architectures for enterprise clients.
- Strong consulting values with the ability to interface effectively with senior stakeholders.
- Hands‐on experience with SQL, ETL/ELT pipelines, and BI/analytics tools.
- Deep understanding of the data lifecycle (ingestion, storage, processing, governance, consumption).
- Ability to link business objectives with technology strategy and execution.
- Strong problem‐solving, analytical, and communication skills.
- Experience leading data modernisation initiatives across multiple sectors (e.g., banking, insurance, telecom, public sector, manufacturing, retail).
- Extensive experience with Snowflake features (e.g., data sharing, Snowpark, zero‐copy cloning, performance tuning).
- Proficiency in cloud ecosystems (AWS, Azure, GCP) and infrastructure‐as‐code (e.g., Terraform).
- Strong background in databases, data warehouses, and distributed processing frameworks.
- Familiarity with BI and data exploration tools (e.g., Tableau, Power BI, Talend).
- Experience with data security, governance, and compliance frameworks.
- Expertise in large‐scale ETL/ELT pipeline implementation using custom and packaged tools.
Experience: Minimum 7–10 years in data architecture, engineering, or consulting roles, with at least 3+ years in Snowflake solution architecture. Ideally SnowPro Core certification or above.
Education: University degree required. Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certification(s) strongly desirable.
What the job involves
We are seeking an accomplished and highly skilled Snowflake Solution Architect to join our Data & AI practice. This individual will play a pivotal role in guiding enterprise clients through their data platform modernisation journey, leveraging Snowflake's capabilities to enable data democratisation, advanced analytics, and AI‐driven insights. As a trusted advisor, you will collaborate with client partners, business stakeholders, and technology teams to define Snowflake strategies, design robust architectures, and implement best practices. You will thrive in a fast‐evolving technology environment, continuously expanding your knowledge to ensure NTT DATA and our clients remain at the forefront of data innovation.
Client Engagement & Delivery
- Solution Design & Implementation
- Migration & Modernisation
- Thought Leadership & Knowledge Sharing
- Collaboration & Leadership
Business Relationships:
- Client Partners
- Practice Leaders and Members
- Peer‐level relationships within client organisations up to Head of Data Engineering, Head of Data Architecture, and Chief Data Architect level.
Measures of Success:
- Successful delivery of Snowflake data platforms aligned to client objectives.
- High client satisfaction and repeat engagements.
- Demonstrated leadership in data modernisation initiatives.
- Contribution to practice growth through assets, propositions, and thought leadership.
Snowflake Solution Architect in London employer: Deepstreamtech
At NTT DATA, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Snowflake Solution Architect, you will have access to extensive professional development opportunities, enabling you to enhance your skills in a supportive environment while working on cutting-edge data solutions for enterprise clients. Our commitment to employee growth, coupled with our focus on data-driven insights, makes NTT DATA a rewarding place to advance your career in the heart of a fast-evolving technology landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Solution Architect in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to Snowflake and data architecture. You never know who might have a lead on your dream job.
✨Show Off Your Skills
When you get the chance, demonstrate your expertise in Snowflake during interviews. Bring examples of past projects where you’ve designed and implemented solutions. This will show potential employers that you can walk the talk!
✨Tailor Your Approach
Make sure to tailor your discussions to align with the specific needs of the company you're interviewing with. Highlight how your experience with SQL, ETL/ELT pipelines, and cloud ecosystems can help them achieve their business objectives.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Snowflake Solution Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Snowflake and relevant technologies. We want to see how your skills align with the job description, so don’t be shy about showcasing your expertise in data architecture and cloud ecosystems!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Snowflake Solution Architect role. Share specific examples of your past projects and how they relate to the responsibilities outlined in the job description.
Showcase Your Problem-Solving Skills:In your application, highlight instances where you've tackled complex challenges in data modernisation. We love candidates who can demonstrate their analytical thinking and problem-solving abilities, especially in a consulting context.
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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Deepstreamtech
✨Know Your Snowflake Inside Out
Make sure you’re well-versed in all the features of Snowflake, especially those mentioned in the job description like data sharing and performance tuning. Prepare to discuss specific projects where you’ve implemented these features and how they benefited your clients.
✨Showcase Your Consulting Skills
Since this role involves interfacing with senior stakeholders, practice articulating your consulting experience. Think of examples where you successfully linked business objectives with technology strategies, and be ready to share how you navigated complex client relationships.
✨Demonstrate Your Problem-Solving Prowess
Prepare for scenario-based questions that test your analytical skills. Think about challenges you've faced in data architecture or engineering and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarise Yourself with the Data Lifecycle
Brush up on your understanding of the data lifecycle, from ingestion to consumption. Be prepared to discuss how you’ve managed each stage in previous roles, particularly in relation to ETL/ELT pipelines and data governance, as these are crucial for the position.
