AS A DATA CLOUD ARCHITECT - SI PARTNERS, YOU WILL:
Help Solution Providers/Practice Leads with the technical strategies that enables 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
Help develop and launch joint differentiated solution offerings with SI Partners
Conversations with other technologists, providing presentations at the C-level.
Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging
OUR IDEAL DATA CLOUD ARCHITECT - SI PARTNERS WILL HAVE:
Providing technical product and deep architectural expertise & latest product capabilities with our Partner Solution Architect community
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 Glue, AWS Lambda, etc.
Experience with AI/ML use cases is a plus
5+ years industry experience designing, building and supporting large-scale systems in production.
Passionate about improving overall developer experience, prior experience in Developer Platform, Developer Experiences or Developer Productivity is a plus.
Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems.
Fluency in multiple programming languages is a big plus.
Knowledge of database internals is a plus.
Experience working with cross teams and product managers.