Solutions Architect - Migrations at Snowflake

Melbourne, Victoria, Australia

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, Data PlatformIndustries

Requirements

Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role
Experience migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform
University degree in computer science, engineering, mathematics or related fields, or equivalent experience
Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
Strong skills in databases, data warehouses, and data processing
Extensive hands-on expertise with SQL and SQL analytics
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
Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, etc.)
Software development experience with C/C++ or Java
Scripting experience with Python, Ruby, Perl, Bash
Ability and flexibility to travel to work with customers on-site 25% of the time

Responsibilities

Be a technical expert on all aspects of Snowflake
Guide customers through the process of migrating to Snowflake and develop methodologies to improve the migration process
Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology
Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
Provide guidance on how to resolve customer-specific technical challenges
Support other members of the Professional Services team develop their expertise
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Skills

Key technologies and capabilities for this role

SnowflakeCloud ArchitectureData MigrationProfessional ServicesBest PracticesKnowledge TransferData AnalyticsSystem Integrators

Questions & Answers

Common questions about this position

What experience level is required for the Solutions Architect role?

Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role is required, along with experience migrating from one data platform to another.

What key skills does the ideal Solutions Architect need?

The role requires outstanding presentation skills to technical and executive audiences, deep understanding of the data analytics stack from ETL to BI, and hands-on expertise with Snowflake technology.

What is the company culture like at Snowflake?

Snowflake has a culture focused on impact, innovation, and collaboration, thriving in a fast-paced, agile environment where employees are hands-on self-starters who jump in to get things done.

What education is required for this position?

A university degree in computer science, engineering, mathematics or related fields, or equivalent experience is required.

What makes a strong candidate for the Solutions Architect - Migrations role?

A strong candidate is a technical expert passionate about data platforms, with proven migration experience, excellent communication skills for diverse audiences, and the ability to collaborate across teams and with customers.

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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