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Pre-Sales Engineer - Cloud Data Warehouse, Data Engineering & AI - US Based at Jobgether. This position is posted by Jobgether on behalf of CoEnterprise. We are currently looking for a . Pre-Sales Engineer – Cloud Data Warehouse, Data Engineering & AI. in . United States. .. Join a fast-growing and collaborative environment where you’ll act as a technical advisor, helping clients solve complex data challenges through innovative solutions in cloud data warehousing, AI/ML, and data engineering. You’ll play a key role in the pre-sales process, partnering with stakeholders to design, present, and deliver advanced architectures using platforms like Databricks and Snowflake. This role combines strategic thinking with hands-on expertise and offers the opportunity to work on cutting-edge projects with a strong emphasis on innovation, client impact, and collaboration.. . Accountabilities. As a Pre-Sales Engineer, you will:. . Collaborate with sales teams to assess client needs and design scalable cloud data architectures tailored to their business goals.. . Deliver product demos, Proofs of Concept (POCs), and presentations showcasing the value of cloud and AI/ML solutions.. . Lead technical workshops and build scopes of work that align with client objectives.. . Advise clients on data engineering workflows, ETL pipelines, and AI/ML model integration.. . Guide customers through complex analytics strategies, real-time data processing, and predictive analytics use cases.. . Act as a trusted advisor throughout the customer lifecycle, ensuring technical alignment and satisfaction.. . Share insights and best practices internally and externally through documentation, training, and enablement.. . Stay current with trends in cloud data, machine learning, and analytics, ensuring ongoing innovation and technical excellence.. . . To be successful in this role, you should have:. . Proven experience with platforms like Databricks, Snowflake, or comparable cloud data solutions (e.g., BigQuery, Redshift).. . Strong expertise in data engineering concepts, including ETL/ELT pipelines and big data frameworks.. . Solid understanding of AI/ML technologies, including model deployment and integration into data systems.. . Familiarity with cloud services across AWS, Azure, or GCP for data storage, processing, and analytics.. . Ability to communicate complex technical concepts to both technical and non-technical audiences.. . Experience working with senior-level stakeholders in a pre-sales, sales engineering, or technical consulting capacity.. . A Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent experience.. . At least 5 years of experience in cloud data architecture, AI/ML, or sales engineering roles.. . Bonus: Certifications in cloud/data platforms, BI tool proficiency (Power BI, Tableau, Looker), Agile/DevOps familiarity, or supply chain experience.. . Company Location: United States.