Account Engineer

What You'll Do

• 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.

Minimum Qualifications

• Foundational Experience: Some experience in a technical role (e.g., Solution engineering, solutions architecture, or software development), preferably in SaaS, data analytics, or cloud technology.
• Willingness to Learn: A passion for solving problems and eagerness to grow your technical and business skills.
• Technical Aptitude: Basic familiarity with SQL and/or Python, or a strong willingness to learn.
• Communication Skills: Ability to communicate effectively with diverse audiences, both written and verbal.
• Customer Focus: A desire to understand customer challenges and deliver meaningful solutions.
• Team Player: A collaborative approach to working with peers, partners, and customers.

Preferred Qualifications

• 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.