Architect, Data Engineering, Field CTO Office

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

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.