Snowflake

Solutions Architect

Snowflake

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

SeniorLead

Tech Stack

AWSAzureETLHadoopHBaseMapReduceOpenStackSQLTableau

About the role

  • May be named to several Snowflake customers
  • Lead technical pieces of client data warehouse implementations and on-boarding efforts
  • Work with Customer Engagement and Delivery resources to ensure technical guidance, project management and functional support
  • Collaborate with Product Management, Engineering, Sales, Sales Engineering, and Professional Services teams
  • Help clients troubleshoot the implementation of the product within their systems
  • Identify, document, triage and track issues to ensure resolution
  • Work with Product Management and Support when a scoped implementation or product feature cannot be implemented or does not meet client needs
  • Contribute to growth and scalability of Customer Delivery and Training and Education teams through documentation, process optimization, and capability cross-training
  • Apply industry/domain/technology expertise to client implementations
  • Gather intelligent product feedback and recommendations from customers to design and inform new features and capabilities

Requirements

  • 12+ years of experience in a customer facing technical role
  • Strong database and data warehouse experience, including recent experience writing and tuning complex SQL queries
  • Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack)
  • Experience implementing ETL pipelines using custom and packaged tools
  • Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data Pipeline
  • Experience working cross functionally with teams such as Support and Engineering
  • Excellent written and verbal communication skills
  • Presence: enthusiastic and high energy, but also poised, confident and extremely professional
  • Innovative and assertive, with the ability to pick up new technologies and assess situations quickly
  • Exercises listening, takes time to truly understand client needs and address them
  • Strong sense of ownership and high attention to detail
  • Creative and analytical problem-solving skills
  • Ability to work on several projects simultaneously and meet stated quality objectives
  • Bonus: Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
  • Bonus: Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau)