Full-Time Pre-Sales Engineer - Cloud Data Warehouse

Job Overview:We are looking for a highly skilled and motivated Sales Engineer with deep expertise in cloud data warehousing, data engineering, and AI/ML to join our growing sales engineering team.

Key Responsibilities:

• Pre-Sales Support & Solution Design: Collaborate with the sales team to understand customer needs and design scalable cloud data architectures using Databricks, Snowflake, and other cloud-based data platforms. Present product demonstrations, Proof of Concepts (POCs), and architectural walkthroughs to showcase cloud data solutions and AI/ML integrations. Develop technical presentations and workshops on data engineering best practices, cloud data architecture, and AI-driven analytics. Assist with RFP/RFI responses, crafting technical solutions and aligning with customer objectives to win business. Facilitate data strategy workshops to roadmap client analytics priorities. Build scopes of work for data projects.
• AI & Data Engineering Expertise: Work closely with customers to understand their data engineering workflows, including data pipelines, ETL processes, and data integration needs. Advise clients on optimal data pipeline design and implementation, automation strategies, and AI/ML model integration for real-time or batch processing. Assist clients in identifying AI/ML use cases and integrating machine learning models into their data architecture for predictive analytics, anomaly detection, or automation.
• Customer Engagement & Support: Act as a trusted advisor to customers, helping them solve complex data and AI challenges and realize the full potential of cloud technologies. Develop strong, ongoing relationships with customers, providing continuous guidance on optimizing their data infrastructure and AI capabilities. Partner with customer success and support teams to ensure smooth implementation and customer satisfaction.
• Collaboration & Knowledge Sharing: Work closely with Product Management, Engineering, and Data Science teams to understand product roadmaps, new feature releases, and customer feedback. Train and mentor internal sales teams on advancements in cloud data warehousing, data engineering, and AI technologies. Stay up-to-date with emerging trends and share knowledge with the team and customers.
• Technical Enablement & Best Practices: Build and maintain technical documentation, presentations, and other collateral to support customer engagement. Contribute to the creation of best practices, white papers, and technical case studies. Lead internal training sessions, webinars, and knowledge-sharing events to educate internal teams and customers.

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