Key skills
AWSAzureCloudETLGoogle Cloud PlatformIoTJavaJavaScriptPythonScalaSQLMachine LearningData EngineeringSnowflakeGCPGoogle CloudProduct ManagementCommunicationSales
About this role
Role Overview
- Impact Snowflake’s product success in multiple market segments and workloads.
- Engage with PM and Engineering across multiple feature areas.
- Engage with customer CTO’s and senior business/technical leaders to deploy, prove, evaluate, and advise on new Snowflake capabilities.
- Create and advocate for new technical architectures, often backed by sample code.
- Dig into selected competing cloud data platform products to evaluate their newest features and best practices and compare them against Snowflake’s capabilities.
- Analyze Snowflake telemetry and understand Snowflake’s internals to investigate the root cause for feature behavior, both desired and undesired.
- Communicate findings and recommendations effectively and persuasively to Product Management and Engineering leaders.
- Partner with various Marketing teams to position Snowflake’s feature advantages to technical field organizations and customers.
- Own and execute on multiple, concurrent SnowCAT projects, maintaining a thorough written record of progress.
Requirements
- Proven expertise as leader or senior contributor in a data-centric software or services team.
- Deep familiarity with distributed database architectures, query processing and the drivers of performance.
- Comfort integrating diverse tooling on cloud platforms including AWS, Azure and GCP.
- Curiosity and motivation to work with a variety of distributed computing / database platforms in the cloud and understand strengths & weaknesses impacting performance
- Deep experience with a variety of database-centric workloads including analytic queries, data engineering / ETL, machine learning, streaming data / IOT, and transaction processing.
- Expert SQL skills and strong experience in other programming languages/frameworks adjacent to Snowflake, including but not limited to Python, Java, Javascript, Scala, etc.
- Experience with agents/LLMs, containerized services, data intensive applications, and/or machine learning model development.
- Strong vibe coding skills to build synthetic workloads and prototypes to stress platforms and features.
- Excellent communication skills in presenting to technical audiences inside and outside the company.
- An ability to thrive in the dynamic environment that comes with being part of a hyper-growth company. That means flexibility and willingness to jump in and do whatever it takes to be successful.
- Proven expertise in understanding the voice of the customer and partnering across engineering, marketing, and sales to deliver compelling products that meet those customers’ needs.
- 20+ years of experience in a technical role for data-centric software or services -
- testing and tuning products, implementing complex solutions with customers, product management, or benchmarking.
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- Google Cloud Platform
- IoT
- Java
- JavaScript
- Python
- Scala
- SQL
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Bonuses
- Stock options
- Equipment allowances
- Wellness programs