We are looking for an AWS Platform Architect to be part of our Data Cloud Architecture team to engage with customers in a pre-sales capacity. This person must have extensive experience architecting solutions on AWS solving innovative problems in a fast-paced, agile environment. The ideal candidate will have familiarity and experience with data architectures such as Lake, Warehouse, Mesh and Fabric. The candidate should be a subject matter expert translating a customer’s business problem into a Snowflake vision and presenting collaboratively (or in competitive situations) to various technical and executive audiences.

The person we’re looking for shares our passion for reinventing the data platform and thrives in a dynamic environment. That means having the flexibility and willingness to jump in and get it done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving data and analytics technologies, and working collaboratively with a broad range of people inside and outside the company to be an authoritative resource for Snowflake and its customers.

AS A PLATFORM ARCHITECT AT SNOWFLAKE, YOU WILL:

Present Snowflake technology and vision to executives and technical contributors to customers.
Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes.
Drive project teams towards common goals of accelerating the adoption of Snowflake solutions.
Develop Intellectual Capital for consumption among the broader Snowflake pre-sales team.
Collaborate on and create integrate solutions on AWS that are relevant to other customers in order to drive more value out of Snowflake.
Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.

OUR IDEAL SOLUTIONS ARCHITECT WILL HAVE:

University degree in computer science, engineering, mathematics or related fields, or equivalent experience
Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer.
Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
Hands-on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI)
Extensive experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, etc.)
Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
Software development experience with Python, Java , Spark and other Scripting languages
Proficiency in implementing data security measures, access controls, and design within the Snowflake platform.
Internal and/or external consulting experience.
Deep collaboration with Account Executives and Sales Engineers on account strategy.

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

1+ years of practical Snowflake experience
Big 5 Consulting experience
Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Looker, Tableau)
OLAP Data modeling and data architecture experience
Expertise in a core vertical such as Financial Services, Retail, Media & Entertainment, Healthcare, Life-Sciences etc.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

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