At a Glance
- Tasks: Lead enterprise clients in modernising their data platforms using Snowflake's innovative capabilities.
- Company: Join a forward-thinking tech company focused on data and AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to engage with senior stakeholders.
- Why this job: Be at the forefront of data innovation and make a real impact on businesses.
- Qualifications: 7-10 years in data architecture with strong Snowflake expertise required.
The predicted salary is between 80000 - 100000 € per year.
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 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 the opportunity to work with cutting-edge technology in a supportive environment that prioritises employee growth through continuous learning and professional development. Our commitment to client success and data-driven insights ensures that you will play a vital role in transformative projects while enjoying the benefits of a flexible work-life balance and a diverse team.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Solution Architect
✨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. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your Snowflake projects, SQL queries, and any cool ETL/ELT pipelines you've built. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for those interviews by brushing up on common Snowflake scenarios and problem-solving questions. Practice explaining your thought process clearly, as communication is key when dealing with senior stakeholders.
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website to get noticed. Tailor your application to highlight your Snowflake expertise and how you can help clients achieve their data goals.
We think you need these skills to ace Snowflake Solution Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Snowflake and cloud data platforms. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects and achievements!
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 how you've tackled similar challenges in the past and how you can help us drive data innovation.
Showcase Your Technical Skills:We’re looking for hands-on experience, so make sure to mention your proficiency with SQL, ETL/ELT pipelines, and any BI tools you’ve worked with. Highlighting your technical expertise will help us see how you can contribute to our team.
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. Plus, it shows you’re keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at Deepstreamtech
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss specific features like data sharing, Snowpark, and performance tuning. Having real-world examples of how you've implemented these features in past projects will really impress the interviewers.
✨Showcase Your Consulting Skills
Since this role involves interfacing with senior stakeholders, practice articulating complex technical concepts in a way that's easy for non-technical people to understand. Think about times when you've successfully communicated with clients or led discussions that resulted in positive outcomes.
✨Demonstrate Problem-Solving Prowess
Prepare to tackle hypothetical scenarios during the interview. Think through common challenges in data architecture and how you would approach solving them. Highlight your analytical skills and provide examples of how you've overcome obstacles in previous roles.
✨Link Business Objectives with Tech Strategy
Be ready to discuss how you've aligned technology solutions with business goals in your past experiences. This could involve talking about specific projects where you helped clients achieve their objectives through effective data strategies. Show that you understand the bigger picture!
