Snowflake

Solution Engineer

Posted 4 Days Ago

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Hiring Remotely in TH

Remote

Senior level

Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics

We're shattering barriers that prevent organizations from unleashing the true value of their data.

The Role

The Solution Engineer provides technical expertise to ensure customer success by collaborating with various teams and demonstrating Snowflake's technology. Responsibilities include presenting to executives, hands-on customer support, and maintaining industry knowledge.

Summary Generated by Built In

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

The Solution Engineer will collaborate closely with Sales, Product, Engineering, and Marketing, and will be responsible for providing technical expertise to ensure Snowflake customers achieve success. This role requires a broad range of skills and experience, encompassing data architecture, ETL/ELT, data science, security, performance analysis, and analytics. You will possess the insight to connect a customer’s specific business challenges with Snowflake’s solutions, the customer-facing skills to effectively communicate that connection and vision to diverse technical and executive audiences, and the technical proficiency to build compelling demos, execute successful proof-of-concepts, and provide consultative guidance on architecture and implementation.

The ideal Solution Engineer will demonstrate a proactive and results-oriented approach, willing to go the extra mile to contribute to the success of Snowflake and our customers. This entails staying abreast of the ever-evolving technologies in data and analytics to serve as an authoritative resource for both internal teams and clients. You will thrive in a collaborative environment, working effectively with a wide range of individuals, both within and outside the organization.

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 5+ years of experience working in customer facing solution 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 and Python
Excellent fluency in both native Thai and English is required.

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 Thailand 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 in Cloud security & Thailand risk management framework
Experience selling enterprise SaaS software

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

Top Skills

Amazon Aws

Aws Glue

Aws S3

Aws Sagemaker

Azure Blob Storage

Azure Data Factory

Azure Database Migration Services

GCP

Java

Azure

Power BI

Python

Spark

SQL

Tableau

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The Company

HQ: Bozeman, MT

7,834 Employees

Hybrid Workplace

Year Founded: 2012

What We Do

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com.

Why Work With Us

We’re at the forefront of the AI data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.