Job Description
Our Solutions Engineering organization is seeking a Data Platform Architect to join our Field CTO team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will leverage your expertise, best practices and reference architectures highlighting Snowflake’s Cloud Data Platform capabilities across Data Warehouse, Data Lake, and Data Engineering workloads. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.
IN THIS ROLE YOU WILL GET TO:
• Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
• Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
• Help to scope security related feature enhancements on behalf of customers to work with Product Management on ways to improve the product from a data engineering perspective
• Assist in clarifying concepts of data engineering, data warehousing, data collaboration, AI and Machine Learning. Share industry best practices, and features in the Snowflake platform; Assist in building demos and prototypes using Snowflake in conjunction with other integrated solutions; Engage with other relevant Snowflake stakeholders internally
• Collaborate with cross-functional teams, including Sales, Product, Engineering, Marketing, and Support in order to drive customer security feature adoption
• Partner with our Product Marketing team to define and support Snowflake's AI and Data Cloud and workload awareness and pipeline building via marketing initiatives including conferences, trade shows, and events
• Work and collaborate with other Field CTO members in areas of: Enterprise AI, Gen AI, Data Engineering, Security, Applications, as a Data Engineering expert you may be involved in collaborative engagements
• Partner with the best in the industry product team, helping to shape vision and capabilities for Snowflake Data Marketplace
ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
• 5+ years of architecture and data engineering experience within the Enterprise Data space
• 5+ years experience within a pre-sales environment
• Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
• Hands-on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies
• Knowledge and hands-on experience with Big data processing tools (Nifi, Spark etc.) and common optimization techniques
• Knowledge and hands-on experience with CI/CD for data/ml pipelines
• Knowledge and design expertise in Stream processing pipelines
• Knowledge and hands-on experience with Containerisation & Orchestration, including Kubernetes, EKS, AKS, Terraform and equivalent technologies
• Knowledge and hands-on experience with cloud platforms & services (AWS, Azure, GCP)
• Ability to connect a customer’s specific business problems and Snowflake’s solutions
• Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture
• Must have some prior knowledge of Data Engineering tools for ingestion, transformation and curation
• Familiarity with real-time or near real time use cases (ex. CDC) and technologies (ex. Kafka, Flink) and deep understanding of integration services and tools for building ETL and ELT data pipelines and its orchestration technologies such as Matillion, Fivetran, Airflow, Informatica, Azure Data Factory, etc.
• Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
BONUS POINTS FOR THE FOLLOWING:
• Hands-on expertise with SQL, Python, Java, Scala and APIs
• AI/ML skills and hands-on experience and knowledge with model building and training, MLOps
• Experience selling enterprise SaaS software
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
IN THIS ROLE YOU WILL GET TO:
• Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
• Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
• Help to scope security related feature enhancements on behalf of customers to work with Product Management on ways to improve the product from a data engineering perspective
• Assist in clarifying concepts of data engineering, data warehousing, data collaboration, AI and Machine Learning. Share industry best practices, and features in the Snowflake platform; Assist in building demos and prototypes using Snowflake in conjunction with other integrated solutions; Engage with other relevant Snowflake stakeholders internally
• Collaborate with cross-functional teams, including Sales, Product, Engineering, Marketing, and Support in order to drive customer security feature adoption
• Partner with our Product Marketing team to define and support Snowflake's AI and Data Cloud and workload awareness and pipeline building via marketing initiatives including conferences, trade shows, and events
• Work and collaborate with other Field CTO members in areas of: Enterprise AI, Gen AI, Data Engineering, Security, Applications, as a Data Engineering expert you may be involved in collaborative engagements
• Partner with the best in the industry product team, helping to shape vision and capabilities for Snowflake Data Marketplace
ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
• 5+ years of architecture and data engineering experience within the Enterprise Data space
• 5+ years experience within a pre-sales environment
• Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
• Hands-on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies
• Knowledge and hands-on experience with Big data processing tools (Nifi, Spark etc.) and common optimization techniques
• Knowledge and hands-on experience with CI/CD for data/ml pipelines
• Knowledge and design expertise in Stream processing pipelines
• Knowledge and hands-on experience with Containerisation & Orchestration, including Kubernetes, EKS, AKS, Terraform and equivalent technologies
• Knowledge and hands-on experience with cloud platforms & services (AWS, Azure, GCP)
• Ability to connect a customer’s specific business problems and Snowflake’s solutions
• Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture
• Must have some prior knowledge of Data Engineering tools for ingestion, transformation and curation
• Familiarity with real-time or near real time use cases (ex. CDC) and technologies (ex. Kafka, Flink) and deep understanding of integration services and tools for building ETL and ELT data pipelines and its orchestration technologies such as Matillion, Fivetran, Airflow, Informatica, Azure Data Factory, etc.
• Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
BONUS POINTS FOR THE FOLLOWING:
• Hands-on expertise with SQL, Python, Java, Scala and APIs
• AI/ML skills and hands-on experience and knowledge with model building and training, MLOps
• Experience selling enterprise SaaS software
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
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