Snowflake

Platform Architect

Menlo Park, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Data & AnalyticsIndustries

Requirements

Candidates should have over 10 years of experience in data architecture, data engineering, or solution architecture roles. Deep expertise in Azure cloud services, including Azure Data Lake Storage, Azure Synapse, and Azure Fabric is required, along with strong hands-on experience with Databricks. A proven track record in designing and implementing Lakehouse architectures for large-scale enterprise customers is essential. Candidates must also possess expertise in SQL, Python, and ETL/ELT frameworks for data transformation and analytics, as well as a strong understanding of data governance, security, and compliance best practices in the cloud. Excellent communication and stakeholder management skills are necessary, with the ability to translate technical concepts into business value. Experience in customer-facing roles such as pre-sales, consulting, or customer success is a plus.

Responsibilities

The Platform Architect will engage with enterprise customers to architect scalable, high-performance, and cost-efficient data solutions leveraging Snowflake in conjunction with Azure and Databricks. They will design and optimize data architectures based on Lakehouse principles, guiding customers on best practices for data ingestion, transformation, and analytics. The role involves leading technical discussions and delivering compelling presentations, demonstrations, and proofs-of-concept showcasing Snowflake’s value proposition. Collaboration with internal teams, including Sales, Product, and Engineering, is necessary to align solutions with customer needs and Snowflake’s roadmap. Additionally, the architect will advocate for Snowflake’s ecosystem by articulating integration patterns with Azure services and Databricks, stay ahead of industry trends, and provide thought leadership on cloud data management, data engineering, and AI/ML enablement. They will also educate and enable customers on migration strategies from legacy data warehouses and competing cloud platforms to Snowflake.

Skills

SQL
Python
Azure Data Lake Storage
Azure Synapse
Azure Fabric
Databricks
Unity Catalog
Delta Lake
Spark
MLflow
ETL
ELT
Data Governance
Data Security

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.

Key Metrics

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.

Land your dream remote job 3x faster with AI