Cloud Data Solutions Leader

Data Cloud Architect Role

Are you a visionary data expert looking to drive business growth through strategic partnerships?

We are seeking a highly skilled Data Cloud Architect to join our team and lead the development of cutting-edge data solutions for our partners. As a key member of our Partner Go-To-Market Initiatives, you will play a crucial role in driving revenue growth, building capabilities, and delivering impactful results.

About the Role:

We're at the forefront of the data revolution, committed to building the world's greatest data and applications platform. Our 'get it done' culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

The ideal candidate should have excellent verbal and written communication skills, as well as deep technical expertise in data engineering, Spark, Big Data, and cloud platforms like Azure, AWS, GCP, and distributed computing. Additionally, they should possess hands-on experience in Docker and containerizing Python applications, understanding container networking and Kubernetes, and be knowledgeable about APIs, Agile practices, CI/CD, DataOps, and MLOps.

Main Responsibilities:

Run training sessions, workshops, webinars to help Partners become proficient in Snowflake
Assist Solution Providers/Practice Leads with technical strategies enabling them to sell their offerings on Snowflake
Keep Partners updated on key Snowflake product updates and future roadmaps to help them represent Snowflake effectively to their clients
Conduct technical enablement programs, solution design workshops, and best practices sharing
Drive strategic engagements by quickly grasping new concepts and articulating their business value
Showcase the impact of Snowflake through customer success stories and case studies
Understand partner revenue models and industry challenges to identify where Snowflake products can have the most impact
Lead technical and executive presentations, from deep-dives with technologists to strategic discussions with C-level audiences
Contribute to creating reference architectures, blueprints, and best practices based on field experience
Apply development skills by working with large datasets, preprocessing data, and creating data representations
Assist partners in building solutions using Python, Snowpark, and open-source libraries
Dockerize applications and run Docker images inside Snowflake
Build industry solutions based on partner and customer requirements
Develop Gen AI-based applications and stay current with Gen AI advancements
Help partners deploy ML models in Snowflake

Requirements:

Deep technical, product, and architectural expertise on the latest data product capabilities with our Partner community
Strong experience with databases like SQL Server, Oracle, MySQL, NoSQL databases
Experience with data warehouses such as Azure Synapse, Redshift, BigQuery
Knowledgeable about the latest Snowflake product updates and best practices
10+ years of relevant experience
Hands-on experience in Data Engineering, Spark, Big Data
Experienced with Docker and containerizing Python applications
Understanding of container networking and Kubernetes
Knowledgeable about APIs, Agile practices, CI/CD, DataOps, and MLOps
Familiar with cloud platforms like Azure, AWS, GCP, and distributed computing
Excellent problem-solving skills and ability to work independently and collaboratively
Experience with Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, Lambda
Knowledgeable about ML development and Generative AI, including deploying ML models to production

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