Senior Solution Architect – Data Engineering
| Company | Snowflake |
|---|---|
| Location | Austin, TX, USA, Oakland, CA, USA, Chicago, IL, USA, New York, NY, USA, Atlanta, GA, USA |
| Salary | $179000 – $279400 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- Minimum of 10 years of experience working with customers in a pre-sales or post-sales technical role
- Ability to communicate requirements for capabilities on Snowpark conversion for Java, Scala and Spark based back-end software modules
- Ability to deliver requirements for design and development of back-end big data frameworks built on Spark with features like Spark-as-a-service
- Ability to build strategies for a comprehensive big data platform for data science and engineering
- Ability to develop and advise on frameworks for Distributed Computing, Apache Spark, PySpark, Python, HBase, REST based API, Artificial Intelligence, and Machine Learning
- Experience with Apache NiFi, Kafka, Informatica, dbt, AWS Glue, Azure Data Factory, or other ELT tools
Responsibilities
- Be a technical expert on all aspects of Snowflake
- Informal leadership on optimizing migration delivery for SQL and/or Spark workloads
- Be well versed in both leading and executing migrations of applications and data onto cloud platforms
- Have the ability to outline the architecture of modern apps and data in order for customers to create solutions and services on Snowflake
- Run workshops and design sessions with stakeholders, consumers, and product teams
- Create repeatable processes and documentation as a result of customer engagement
- Develop scripting using python and shell scripts for ETL workflows
- Develop best practices, enablement, and knowledge transfer so that customers fully understand and are able to extend the capabilities of Snowflake on their own
- Provide guidance on how to resolve customer-specific technical challenges
- Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology
- Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
- Collaborate cross-functionally with Product Management, Engineering, Professional Services, Sales, and Marketing to continuously improve Snowflake’s products and marketing.
Preferred Qualifications
-
No preferred qualifications provided.