[Remote] Senior Data Platform Architect, Applied Field Engineering at Snowflake

Ontario, Canada

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Cloud Data Platform, Enterprise SoftwareIndustries

Requirements

Candidates must have 5+ years of architecture and data engineering experience in the Enterprise Data space and 5+ years of experience in a pre-sales environment. They should possess outstanding presentation skills for both technical and executive audiences, with broad experience in large-scale Database/Data Warehouse technology, ETL, analytics, and cloud technologies such as Data Lake, Data Mesh, and Data Fabric. Hands-on development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, and Hive is required. Familiarity with real-time use cases (e.g., CDC) and technologies (e.g., Kafka, Flink), as well as data engineering tools for ingestion, transformation, and orchestration (e.g., Matillion, Fivetran, Airflow, Informatica), is necessary. A Bachelor's Degree is required, with a Master's Degree in computer science, engineering, mathematics, or a related field, or equivalent experience, being preferred. Candidates must also understand and adhere to company confidentiality and security standards.

Responsibilities

The Data Platform Architect will provide leadership in designing and architecting the Snowflake Cloud Data Platform for enterprise data architectures and ecosystems. They will work with sales teams and channel partners to understand customer needs, strategize on sales cycles, provide value-based demonstrations, support enterprise Proof of Concepts, and close business. Responsibilities include leveraging expertise and best practices to highlight Snowflake's capabilities across Data Warehouse, Data Lake, and Data Engineering workloads, and interacting comfortably with both business executives and technical audiences. The role involves applying multi-cloud data architecture expertise, immersing in industry trends, collaborating with Product Management, Engineering, and Marketing, and connecting customer business problems with Snowflake's solutions.

Skills

Data Platform Architecture

Enterprise Data Architecture

Cloud Data Platform

Data Warehouse

Data Lake

Data Engineering

Multi-cloud

Pre-sales

Proof of Concept

Architecture

Data Engineering

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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