Solution Engineer at Snowflake

Mumbai, Maharashtra, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

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 (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

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

Skills

Key technologies and capabilities for this role

Data ArchitectureETLELTData ScienceSecurityPerformance AnalysisAnalytics

Questions & Answers

Common questions about this position

What is the work location or arrangement for this role?

The position is hybrid.

What are the minimum experience and skills required for the Solution Engineer role?

Minimum 5+ years of experience in customer-facing solution engineering (tech pre-sales) is required, along with strong competency in modern data stacks, ETL/ELT, data warehouse/lake, data science, and data apps, plus outstanding presentation skills to technical and executive audiences and hands-on SQL expertise.

What is the company culture like at Snowflake?

Snowflake has a culture focused on impact, innovation, and collaboration, empowering enterprises and people to reach their full potential while building big, moving fast, and advancing technology and careers.

What strongly desired qualifications will make me stand out?

Strongly desired qualifications include data science knowledge, a university degree in computer science or related fields, software development experience with Java and Spark, and extensive knowledge of large-scale database technologies like Netezza or cloud data platforms; Python knowledge is a bonus.

Is the salary or compensation specified for this position?

This information is not specified in the job description.

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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