Key skills
PythonSQLAIMachine LearningAgenticAnalyticsSnowflakeBigQueryDatabricksSparkAWSAzureGCPGitSaaSCI/CDCollaborationCustomer Success
About this role
Snowflake is a company powering the era of the agentic enterprise, seeking AI-native thinkers to reinvent how work is done. As an Account Engineer, you will deliver technical expertise and build relationships with prospects and customers while exploring the Snowflake AI Data Cloud.
Responsibilities:
- Support Customer Engagements: Assist in presenting Snowflake’s technology and vision to diverse audiences, from technical contributors to business leaders. Develop your skills in aligning technical solutions with business outcomes
- Contribute to Technical Wins: Collaborate with customers to plan and execute technical evaluations and proof-of-concept demonstrations, supported by senior team members. Help tailor solutions to customer needs while learning how to communicate business value effectively
- Learn & Build Relationships: Partner with customers and technical champions to foster trust and collaboration. Build your expertise in championing Snowflake’s capabilities and contributing to long-term customer success
- Develop Technical Expertise: Gain hands-on experience through tailored demos, hands-on labs, and Snowflake’s extensive learning resources. Stay informed about industry trends, competitive offerings, and emerging technologies
- Collaborate for Success: Work closely with Account Executives, Marketing, and Snowflake’s partner ecosystem to ensure customers realize the value of Snowflake
- Grow as a Professional: Take advantage of mentorship opportunities, on-the-job learning, and a team that’s invested in your development
Requirements:
- Some experience in a technical role (e.g., Solution engineering, solutions architecture, or software development), preferably in SaaS, data analytics, or cloud technology
- A passion for solving problems and eagerness to grow your technical and business skills
- Basic familiarity with SQL and/or Python, or a strong willingness to learn
- Ability to communicate effectively with diverse audiences, both written and verbal
- A desire to understand customer challenges and deliver meaningful solutions
- A collaborative approach to working with peers, partners, and customers
- Working with modern data technologies like Snowflake, Databricks, Fabric, BigQuery etc (including CI/CD tooling, Spark, containers, DevOps tools, orchestration tools, Git)
- Understanding public cloud platforms (AWS, Azure, GCP) and their services
- Familiarity with data science, machine learning workflows, or governance tools