Solutions Architect at Snowflake

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data AnalyticsIndustries

Requirements

Minimum 8-10 years of experience in technical roles involving pre-sales or post-sales with customers (including internal cross-organizational pre-sales or post-sales)
Ability to accurately understand customer needs and propose/lead project approaches independently
Excellent presentation and demo skills for both technical and executive audiences
Complete understanding of the full data analytics stack and workflows, from ETL to data platform design, BI, and analytics tools
Design and implementation skills in databases, data warehouses, and data processing
Extensive hands-on experience with SQL and SQL analytics
Experience with scripting languages such as Python, Ruby, Perl, Bash
Ability and flexibility to work on-site with customers (including willingness to travel as needed)
Nice to Have Skills
Experience designing and implementing Snowflake for enterprise use
Holding SnowPro certification
Extensive knowledge and experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL, MySQL)
Extensive knowledge and experience with data warehouses (e.g., Redshift, BigQuery, Synapse, Exadata, Teradata, Greenplum)
Experience and knowledge with large-scale data processing tools (e.g., Spark, Hadoop, HBase)
Understanding and experience with general BI or data exploration tools (e.g., Microstrategy, Business Objects, Tableau)
Experience implementing ETL pipelines using custom and packaged tools
Experience designing/implementing AI/ML in data analytics platforms
Experience conducting data migration projects
Experience and understanding of large-scale infrastructure/services/platforms (e.g., Amazon AWS, Microsoft Azure, Google Cloud Platform)
Experience using AWS services (e.g., S3, Kinesis, Elastic MapReduce, Data Pipeline)

Responsibilities

Act as a technical expert across all aspects of Snowflake
Deploy Snowflake according to best practices, including sharing knowledge to help customers understand and extend its features
Demonstrate and communicate best practices for Snowflake technology implementation by working hands-on directly with customers
Possess deep understanding of competitors, complementary technologies, and vendors, and know how to position Snowflake in relation to them
Collaborate deeply at a technical level with system integrator consultants to successfully position and deploy Snowflake in customer environments
Provide guidance on solutions for customer-specific technical challenges
Support other Professional Services team members in developing expertise
Collaborate with product management, engineering, and marketing to continuously improve Snowflake products and marketing

Skills

SQL

Python

ETL

Data Warehousing

BI Tools

Snowflake

Redshift

BigQuery

Spark

Hadoop

Tableau

PostgreSQL

Oracle

Bash

Ruby

Perl

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters

2012Year Founded

$1,341.3MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

5,001-10,000Employees

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.

Increased competition from Mistral AI could challenge Snowflake's market position.

Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.

The AI Data Cloud enables near-unlimited scale and performance for data mobilization.

Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.

Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.

Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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