Senior SQL Developer - Snowflake
Kunai$130,000 - $160,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Data & AnalyticsIndustries
Position Overview
- Location Type: Remote
- Employment Type: Full-Time
- Salary: (Not provided in the description)
Join the Snowflake team to build the future of the AI Data Cloud. Snowflake is leading the data revolution, building the world’s best data and applications platform. We’re fostering a “get it done” culture that empowers innovation, collaboration, and excellence. This role focuses on expanding Snowflake’s Systems Integrator (SI) Go-To-Market initiatives, helping customers unlock the power of the Snowflake Data Cloud. Success requires strong relationship management, program execution, and tracking progress, with a focus on shaping and delivering a strategy to build mindshare with Snowflake’s SI partners.
Requirements
- Proven track record of working with large SI partners.
- Strong business acumen.
- Knowledge of the broader platform ecosystem, products, and competition.
- Ability to be a trusted advisor.
- Up to 30% travel within South America for partner engagement, enablement, deal support, and marketing events.
- Production-level hands-on expertise in developing and deploying PySpark or Scala and SQL to build ELT/data pipelines into production environments.
- Staying current with the latest Spark updates and best practices.
- Hands-on experience in designing and building highly scalable data pipelines using Spark, Kafka to ingest data from various systems.
- Experience with integration platforms like Matillion, FiveTran, Informatica, dbtCloud etc.
- Experience with database technologies.
- Hands-on technical experience with DevOps and CI/CD processes and tools, such as Azure DevOps, Jenkins, AWS CodePipeline, and Google Cloud Build.
- Strong experience with major cloud platforms and tooling, especially Azure or AWS, or Google Cloud.
- Experience using Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS G
Responsibilities
- Help Solution Providers/Practice Leads with technical strategies that enable them to sell their offerings on Snowflake.
- Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging.
- Strong understanding of how SI make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services.
- Develop and launch joint differentiated solution offerings with SI Partners.
- Conduct conversations with other technologists, providing presentations at the C-level.
- Collaborate with partners to develop Snowflake solutions in customer engagements.
- Create assets and demos, build hands-on POCs and pitch Snowflake solutions.
- Provide technical product and deep architectural expertise & latest product capabilities with our Partner Solution Architect community.
Company Information
- Company: Snowflake
- Industry: Data and Cloud Computing
- Culture: “Get it done” – fosters innovation, collaboration, and excellence.
Skills
PySpark
Scala
SQL
ELT
Data Pipelines
Spark
Kafka
Matillion
FiveTran
Informatica
dbtCloud
Azure DevOps
Jenkins
AWS CodePipeline
Google Cloud Build
Azure
AWS
Big Data
Cloud Integration
DevOps
CI/CD
Data Modeling
Database Technologies
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