Pre-Sales Engineer – Cloud Data Warehouse, Data Engineering & AI - US Based - Remote

Strong experience with cloud data platforms such as Databricks, Snowflake, or others. In-depth knowledge of data engineering concepts including data pipelines and ETL/ELT processes. Proven experience with AI/ML technologies including model development and integration. Familiarity with data integration tools and real-time data processing. Experience with cloud environments such as AWS, Azure, Google Cloud. Proven ability to engage with senior stakeholders and demonstrate business acumen. Experience in sales engineering or a similar technical sales role. Strong communication, presentation, and interpersonal skills. Customer-focused mindset with the ability to articulate technical solutions. Bachelor’s degree in a related field or equivalent practical experience. Hands-on experience with cloud data platforms and AI/ML tools is highly desirable.

Collaborate with the sales team to understand customer requirements and design scalable cloud data architectures. Present tailored product demonstrations, POCs, and architectural walkthroughs. Develop and deliver high-impact technical presentations on data engineering best practices. Assist with RFP/RFI responses by crafting technical solutions. Facilitate data strategy workshops and build scopes of work. Advise clients on data engineering workflows and AI/ML integration. Act as a trusted advisor to customers on data and AI challenges. Develop ongoing relationships and provide guidance on data infrastructure. Partner with other teams for smooth implementation. Train and mentor internal sales teams on industry advancements. Stay updated on trends and share knowledge.