Technical Architect
Delivers Snowflake-based data platform solutions for customers, translating business challenges into technical architectures, implementations, and AI/ML use cases. Requires 5–8 years of post-sales technical delivery experience, strong data-stack expertise, customer communication skills, and willingness to travel.
About the job
Responsibilities
- Act as a technical expert across all aspects of Snowflake.
- Deploy Snowflake according to best practices, including sharing knowledge so customers can correctly understand and extend Snowflake capabilities.
- Work directly with customers to demonstrate and communicate best practices for implementing Snowflake technology.
- Understand competing and complementary technologies and vendors, and appropriately position Snowflake in relation to them.
- Collaborate with system integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments.
- Provide solutions and guidance for customer-specific technical challenges.
- Support the development of team members’ expertise and knowledge sharing.
- Partner with Product Management, Engineering, and Marketing to continuously improve Snowflake products and marketing.
Requirements
- 5–8 years of technical customer-facing experience in post-sales technical delivery.
- Ability to accurately understand customer needs and independently propose and drive project approaches.
- Ability to deliver strong presentations and demonstrations to both technical and executive audiences.
- Understanding of the complete data analytics stack and workflows, from ETL and data platform design through BI and analytics tools.
- Design and implementation skills covering databases, data warehouses, and data processing.
- Extensive practical experience with SQL and SQL analytics.
- Scripting experience with Python, Ruby, Perl, Bash, or similar tools.
- Ability and flexibility to work onsite with customers and travel as needed.
- Experience proposing, implementing, and using AI/ML solutions to solve business problems.
Nice-to-haves
- Knowledge of and design or implementation experience with large-scale database technologies such as Redshift, Netezza, Exadata, and Teradata.
- Experience and knowledge of large-scale data processing tools such as Spark, Hadoop, and HBase.
- Understanding and experience with BI and data exploration tools such as Tableau, Sigma, Qlik, Omni, and Looker.
- Experience implementing ETL pipelines with custom and packaged tools.
- Experience designing and building systems using public clouds such as AWS, Microsoft Azure, and Google Cloud Platform.
- Experience with data migration projects.
- Experience designing and implementing AI/ML on data analytics platforms.
- Experience proposing and driving adoption of AI products, including Snowflake Cortex.
- Experience designing, proof-of-concepting, and implementing AI/ML and GenAI use cases.
- Experience advising on MLOps, governance, monitoring, and security.
- Experience with prompt engineering, LLM robustness, and AI-specific risk mitigation.
Compensation and Benefits
- Free lunch at the office
- Defined contribution pension plan (DC)
- RSUs and ESPP
- Mobile phone and gym expense subsidies
- Paid parental leave
- 3-day summer vacation and 5 year-end holidays
- Commuting support
Skills
Snowflake, SQL, Python, Ruby, Perl, Bash, ETL, Data Warehousing, Data Processing, Spark, Hadoop, Hbase, Tableau, AWS, Microsoft Azure
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