At a Glance
- Tasks: Join Snowflake to drive AI Data Cloud solutions and support customer success.
- Company: Snowflake is a fast-growing tech company revolutionising data management and analytics.
- Benefits: Enjoy a collaborative culture, remote work options, and opportunities for professional growth.
- Why this job: Make a real impact in the tech world while working with innovative technologies and diverse teams.
- Qualifications: 10-12 years in sales engineering, strong data stack knowledge, and excellent presentation skills required.
- Other info: Ideal for those passionate about data science and eager to shape the future of technology.
The predicted salary is between 43200 - 72000 £ per year.
Build the future of the AI Data Cloud. Join the Snowflake team in Bangalore. The Sales Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing, and will be responsible for providing technical expertise to make Snowflake customers successful. The sales engineer will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. You will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. The Sales Engineer has the willingness to jump in and do what it takes to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. You will work collaboratively with a broad range of people, both inside and outside the company.
RESPONSIBILITIES:
- Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
- Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
- Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
- Be an advocate and develop mutual trust with the technical audience on the customer side.
MINIMUM REQUIREMENTS:
- Minimum 10-12 years of experience working in customer facing sales engineering (tech pre-sales) role.
- Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps.
- Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Hands-on expertise with SQL (Python knowledge would be a bonus).
STRONGLY DESIRED:
- Data Science knowledge and experience.
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience.
- Software development experience with Java, Spark and other scripting languages.
- Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.) and cloud data platforms.
- Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events.
- Sound understanding and experience in the Indian market and technology ecosystem.
ADDED BONUS FOR:
- Strong Data Science/AI/ML experience across a variety of platforms.
- Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc).
- Cloud Provider Experience - Amazon AWS, Microsoft Azure, and Google Cloud.
- Experience using AWS or Azure native services such as AWS S3, AWS Glue, AWS SageMaker or Azure Blob Storage, Azure Data Factory, Azure Database Migration Services.
- OLAP Data modeling and data architecture experience.
- Experience selling enterprise SaaS software.
- Proven success at enterprise software start-ups.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact?
Senior Solution Engineer employer: Snowflake, Inc
Contact Detail:
Snowflake, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solution Engineer
✨Tip Number 1
Familiarise yourself with Snowflake's technology and its competitive landscape. Understanding how Snowflake positions itself against other data platforms will help you articulate its value to potential customers during interviews.
✨Tip Number 2
Brush up on your presentation skills, especially for technical audiences. Practice explaining complex concepts in a simple way, as you'll need to demonstrate your ability to communicate effectively with both technical and executive stakeholders.
✨Tip Number 3
Network with professionals in the data engineering and analytics space. Attend relevant meetups or webinars to connect with others who work with Snowflake or similar technologies, which can provide insights and potentially lead to referrals.
✨Tip Number 4
Stay updated on the latest trends in data science and cloud technologies. Being knowledgeable about emerging tools and practices will not only enhance your expertise but also show your commitment to continuous learning, which is highly valued in this role.
We think you need these skills to ace Senior Solution Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in customer-facing sales engineering roles. Emphasise your skills in data architecture, ETL/ELT, and any hands-on expertise with SQL or Python.
Craft a Compelling Cover Letter: In your cover letter, connect your past experiences to the responsibilities outlined in the job description. Showcase your ability to communicate technical concepts to both technical and executive audiences.
Showcase Technical Skills: Include specific examples of your experience with modern data stacks, cloud platforms, and any relevant software development experience. Mention any familiarity with BI tools like Tableau or PowerBI.
Demonstrate Industry Knowledge: Highlight your understanding of the Indian market and technology ecosystem. Discuss how your background aligns with Snowflake's vision and how you can contribute to their growth.
How to prepare for a job interview at Snowflake, Inc
✨Showcase Your Technical Expertise
As a Senior Solution Engineer, you'll need to demonstrate your deep understanding of data architecture, ETL/ELT processes, and data science. Be prepared to discuss specific technologies you've worked with and how they relate to Snowflake's offerings.
✨Prepare for Customer-Facing Scenarios
Since the role involves working closely with customers, practice articulating complex technical concepts in a way that resonates with both technical and executive audiences. Use examples from your past experiences to illustrate your ability to communicate effectively.
✨Understand the Competitive Landscape
Familiarise yourself with Snowflake's competitors and complementary technologies. Be ready to discuss how Snowflake stands out in the market and how you would position it against other solutions during the interview.
✨Demonstrate Collaborative Skills
Collaboration is key in this role. Prepare to share examples of how you've successfully worked with cross-functional teams, such as Product Management and Engineering, to drive projects forward and improve product offerings.