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For Companies At a Glance
- Tasks: Design and implement scalable Snowflake cloud data platforms for enterprise clients.
- Company: Join NTT DATA UK, a leader in data innovation and technology solutions.
- Benefits: Flexible work options, continuous learning opportunities, and comprehensive wellbeing support.
- Why this job: Make a real impact by guiding clients through their data transformation journeys.
- Qualifications: 7-10 years in data architecture with strong Snowflake expertise required.
- Other info: Diverse and inclusive workplace committed to equity and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Overview
We are seeking an accomplished and highly skilled Snowflake Solution Architect to join our Data & AI practice. The successful candidate will bring deep expertise in designing and implementing Snowflake-based cloud data platforms that are scalable, secure, and business-aligned. This individual will guide 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.
Please note: all suitable applicants must be eligible for SC clearance so consider when applying.
Primary Responsibilities- Client Engagement & Delivery
- Solution Design & Implementation
- Migration & Modernisation
- Thought Leadership & Knowledge Sharing
- Collaboration & Leadership
- 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
- 8+ years data architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track record
- Technical leadership at scale - Leading 15+ person cross-functional teams and serving as technical escalation point for C-level stakeholders
- Full data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance, security, and both batch/real-time processing
- Business-technology translation - Ability to align data strategy with business objectives and communicate across all stakeholder levels
- Snowflake platform expertise - Deep hands-on experience with Snowflake architecture, data sharing, Snowpark, performance tuning, and cloud ecosystem integration
- Presales & business development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activities
- Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality management
- AI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architectures
- Agile delivery & thought leadership - Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharing
- Cloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code
- Experience: Minimum 7-10 years in data architecture, engineering, or consulting roles, with at least 3+ years in Snowflake solution architecture.
- Education: University degree required.
- Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certification(s) strongly desirable.
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
Snowflake Solution Architect employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Solution Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at NTT DATA or have experience with Snowflake. A friendly chat can open doors and give you insights that might just set you apart from the crowd.
✨Tip Number 2
Show off your expertise! Prepare a portfolio or case studies showcasing your previous Snowflake projects. When you get the chance to chat with potential employers, having tangible examples of your work can really make you stand out.
✨Tip Number 3
Stay updated on the latest trends! The tech world moves fast, especially in data and AI. Make sure you're aware of the newest features in Snowflake and how they can benefit businesses. This knowledge will help you impress during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at NTT DATA. Don’t miss out on this opportunity!
We think you need these skills to ace Snowflake Solution Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Snowflake Solution Architect role. Highlight your experience with Snowflake and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise, especially in Snowflake and cloud data platforms. We love seeing candidates who can demonstrate their knowledge and experience in a clear and concise way.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at hackajob
✨Know Your Snowflake Inside Out
Make sure you have a solid grasp of Snowflake's architecture and features. Brush up on data sharing, Snowpark, and performance tuning. Being able to discuss these topics confidently will show that you're not just familiar with the platform but are also ready to leverage its capabilities for clients.
✨Showcase Your Client Engagement Skills
Prepare examples of how you've successfully engaged with clients in the past. Highlight your experience in guiding enterprise clients through data platform modernisation journeys. This will demonstrate your ability to translate technical jargon into business value, which is crucial for this role.
✨Demonstrate Leadership Experience
Be ready to talk about your experience leading cross-functional teams. Share specific instances where you served as a technical escalation point for C-level stakeholders. This will illustrate your capability to manage complex projects and lead teams effectively.
✨Stay Current with Data Trends
Familiarise yourself with the latest trends in data architecture, AI/ML integration, and cloud-native solutions. Showing that you’re proactive about learning and adapting to new technologies will impress interviewers and align with their focus on innovation.