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

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.

Requirements

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.

Benefits

• Competitive salary with matching 401(k)
• Comprehensive health insurance with generous employer contribution
• Generous paid time off (PTO) policy
• Virtual team lunches and monthly mingles
• Wellness programs and birthday celebrations
• Fun virtual events including happy hours, magic shows, and game nights
• A dynamic, inclusive culture that celebrates diversity and encourages innovation

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening designed to identify top talent efficiently and fairly.
🔍 Our AI analyzes your CV and LinkedIn profile in depth.
📊 It matches your profile against the job’s core requirements and past success factors.
🎯 The top 3 matching candidates are automatically shortlisted.
🧠 If needed, our human team may conduct additional review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focused entirely on your fit for the role.
Once the shortlist is complete, it’s shared with the company’s internal hiring team, who decide the next steps (interviews, assessments, etc.).

Thank you for your interest!

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