Senior Solution Engineer

Snowflake; Selangor; On-site; USD 60,000 - 120,000; Full time

Job summary

An established industry player is seeking a Solution Engineer to drive customer success in the AI Data Cloud space. This role involves working closely with Sales, Product, Engineering, and Marketing teams to provide technical expertise and ensure customer satisfaction. The ideal candidate will possess a deep understanding of data architecture, ETL/ELT processes, and data science, along with exceptional presentation skills. Join a rapidly growing team that values innovation and collaboration, and make a significant impact in the evolving technology landscape. If you're ready to take on challenges and contribute to transformative projects, this opportunity is for you.

Qualifications

• 10-12 years in customer-facing solution engineering roles.
• Hands-on expertise with SQL and Python required.
• Strong competency in modern data stacks and ETL/ELT.

Responsibilities

• Present technology and vision to executives and technical contributors.
• Demonstrate and communicate the value of technology throughout the sales cycle.
• Collaborate with Product Management and Engineering for product improvement.

Skills

Customer Facing Solution Engineering

Data Architecture

ETL/ELT

Data Science

SQL

Python

Presentation Skills

Education

University degree in Computer Science

Equivalent experience in related fields

Tools

Tableau

PowerBI

AWS

Azure

Google Cloud

Job description

Build the future of the AI Data Cloud. Join the Snowflake team.

The Solution 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 solution 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 Solution 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:

1. Present Snowflake technology and vision to executives and technical contributors at prospects and customers
2. 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
3. Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
4. Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
5. Be an advocate and develop mutual trust with the technical audience on the customer side

MINIMUM REQUIREMENTS:

1. Minimum 10-12 years of experience working in customer facing solution engineering (tech pre-sales) role
2. Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps
3. Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
4. Hands-on expertise with SQL and Python

STRONGLY DESIRED:

1. Data Science knowledge and experience
2. University degree in computer science, engineering, mathematics or related fields, or equivalent experience
3. Software development experience with Java, Spark and other scripting languages
4. Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.) and cloud data platforms
5. 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
6. Sound understanding and experience in the Malaysian market and technology ecosystem

ADDED BONUS FOR:

1. Strong Data Science/AI/ML experience across a variety of platforms
2. Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc)
3. Cloud Provider Experience - Amazon AWS, Microsoft Azure, and Google Cloud
4. 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
5. OLAP Data modeling and data architecture experience
6. Experience in Cloud security & Malaysia risk management framework: e.g. Bank Negara Malaysia (BNM) Risk Management in Technology (RMiT)
7. Experience selling enterprise SaaS software
8. 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?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com