Senior Solutions Engineer

About Snowflake and the Role

Snowflake is at the forefront of transforming enterprises into agentic organizations by leveraging AI as a core collaborator in all functions. We seek individuals who are deeply curious, willing to experiment, and eager to reinvent workflows with AI-enhanced approaches. This role is not just about delivering on tasks but about reshaping the future of work.

Position Overview

The Senior Solutions Engineer will join Snowflake's ANZ field team in Perth, focusing on a key enterprise account. This role demands a technically skilled professional who is comfortable engaging customers directly and driving technical progress within complex environments. A strong understanding or interest in AI and machine learning deployment workflows is highly valued.

Key Responsibilities

• Collaborate with account executives and cross-functional teams to secure technical wins throughout the sales process.
• Deliver presentations on Snowflake’s vision, platform, and value proposition to both technical and executive stakeholders.
• Engage hands-on with prospects and clients by conducting discovery sessions, demos, workshops, and proof-of-concept projects to showcase Snowflake’s capabilities.
• Advise customers on modern data architecture, solution design, and implementation, covering areas such as analytics, data engineering, AI/ML, performance, and governance.
• Translate business challenges into practical, scalable Snowflake solutions that foster adoption and sustained value.
• Establish and nurture trusted relationships with architects, engineers, platform teams, and business stakeholders in strategic enterprise accounts.
• Stay informed about competitive and complementary technologies to effectively position Snowflake products.
• Work with Product Management, Engineering, and Marketing to refine Snowflake’s products, messaging, and field strategies.
• Keep customers up to date on Snowflake’s innovations, roadmap changes, and emerging industry uses.
• Represent Snowflake at various forums including customer meetings, executive briefings, workshops, and industry events.

Candidate Profile

• Minimum 10 years’ experience in roles such as solutions engineering, sales engineering, solution architecture, or technical pre-sales.
• Deep expertise with modern data platforms including ETL/ELT processes, data warehousing, data lakes, analytics, and cloud-native solutions.
• Proven experience handling complex enterprise client environments with diverse stakeholders.
• Strong technical skills including proficiency in SQL and Python.
• Ability to align technical solutions with business needs effectively.
• Excellent communication and presentation skills for varied audiences including executives and technical teams.
• Comfort leading whiteboard sessions, technical workshops, and collaborative solution discussions.
• A pragmatic, hands-on, and cooperative approach focused on ensuring client success.
• Strong aptitude for building relationships, professional demeanor, and simplifying complex technical concepts into clear business terms.

Preferred Qualifications

• Experience with AI and machine learning deployment workflows.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of business intelligence and data visualization tools like Tableau or Power BI.
• Experience working with large-scale database systems and cloud data platforms.
• Background in enterprise SaaS and managing sophisticated sales cycles.
• A university degree in computer science, engineering, mathematics, or a related discipline, or comparable professional experience.

Success Indicators

• Rapidly gain trust and credibility with technical teams and key stakeholders.
• Drive tangible progress on opportunities through practical execution.
• Effectively demonstrate the business and technical benefits of Snowflake solutions.
• Create technical advocates and maintain trusted customer relationships.
• Contribute to both immediate deal success and long-term account growth.

Additional Information

Snowflake is in a phase of rapid growth, expanding its teams to support its ambitious objectives. The company values individuals who challenge conventional thinking, innovate rapidly, and are invested in advancing both their careers and Snowflake's mission.