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

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Requirements:

• 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.

Responsibilities:

• 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.