Snowflake Architect

2 weeks ago


Bengaluru, India Cognizant Full time

Be a technical guide on all aspects of Snowflake
- Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
- 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
- Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
- Provide guidance on how to resolve customer-specific technical challenges
- Support other members of the Professional Services team develop their expertise
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

OUR IDEAL SOLUTIONS ARCHITECT WILL HAVE:
- Minimum 15 years of experience working with customers in a pre-sales or post-sales technical role
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience
- Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
- Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
- Strong skills in databases, data warehouses, and data processing
- Extensive hands-on expertise with SQL and SQL analytics
- Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
- Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, etc.)
- Software development experience with C/C++ or Java.Scripting experience with Python, Ruby, Perl, Bash.
- Native German language
- Need to be able to travel frequently

BONUS POINTS FOR THE FOLLOWING:
- 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, Business Objects, Tableau)
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack, etc.)
- Experience implementing ETL pipelines using custom and packaged tools
- Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data pipeline
- Experience selling enterprise SaaS software
- Shown success at enterprise software.

**Employee Status **:Full Time Employee

**Shift **:Day Job

**Travel **:No

**Job Posting **:Jan 19 2023

**About Cognizant


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