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

Summary

Join CoEnterprise, an award-winning B2B software and professional services company, as a Sales Engineer with expertise in cloud data warehousing, data engineering, and AI/ML. You will collaborate with the sales team to present tailored solutions leveraging platforms like Databricks and Snowflake. As a client-facing role, you will bridge business needs and technical solutions, helping customers navigate complex data challenges and drive impactful outcomes with data engineering and AI technologies.

Requirements

• Strong experience with cloud data platforms such as Databricks, Snowflake, or similar solutions (Google BigQuery, AWS Redshift, etc.)
• In-depth knowledge of data engineering concepts, including data pipelines, ETL/ELT processes, and big data processing frameworks
• Proven experience with AI/ML technologies, including model development, deployment, and integration into data workflows
• Familiarity with data integration tools, real-time data processing, and advanced analytics pipelines
• Experience with cloud environments (AWS, Azure, Google Cloud) and associated data services for storage, processing, and analytics
• Proven ability to engage with senior technical and business stakeholders, demonstrating both technical expertise and business acumen
• Experience in sales engineering, pre-sales support, or a similar technical sales role in the data, cloud, or AI/ML domain
• Exceptional presentation, communication, and interpersonal skills, with the ability to explain complex technical concepts to a broad audience
• Strong customer-focused mindset with the ability to articulate the business value of technical solutions
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience)
• 5+ years of experience in cloud data architecture, data engineering, AI/ML, or sales engineering

Responsibilities

• Collaborate with the sales team to deeply understand customer business requirements and design scalable cloud data architectures using Databricks, Snowflake, and other cloud-based data platforms
• Present tailored product demonstrations, Proof of Concepts (POCs), and architectural walkthroughs to showcase the capabilities of cloud data solutions and AI/ML integrations
• Develop and deliver high-impact 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
• Work closely with customers to understand their data engineering workflows, including data pipelines, ETL processes, and data integration needs
• Advise clients on the optimal design and implementation of data pipelines, automation strategies, and the integration of AI/ML models for real-time or batch processing
• Assist clients in identifying key use cases for AI/ML, guiding them on how to integrate machine learning models into their data architecture for predictive analytics, anomaly detection, or automation
• Act as a trusted advisor to customers, helping them to solve complex data and AI challenges while ensuring they realize the full potential of Databricks, Snowflake, and other 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 ongoing customer satisfaction
• 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 the latest advancements in cloud data warehousing, data engineering, and AI technologies
• Stay up-to-date with emerging trends in AI, machine learning, cloud data platforms, and data engineering methodologies, and share that knowledge with the team and customers
• 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 around the integration of cloud data warehouses and AI/ML technologies
• Lead internal training sessions, webinars, and knowledge-sharing events to educate internal teams and customers on AI-driven data solutions

Preferred Qualifications

• Hands-on experience with cloud data platforms (Databricks, Snowflake, etc.) and AI/ML tools (TensorFlow, PyTorch, etc.) is highly desirable
• Certifications in Databricks, Snowflake, AWS, Azure, or other relevant technologies
• Familiarity with BI tools (Power BI, Tableau, Looker) and data visualization techniques
• Experience working in an Agile development environment and with DevOps practices
• Bonus: supply chain experience (if we want to focus/pitch supply chain projects in our analytics practice)

Benefits

• Comprehensive Health Insurance with generous employer contribution
• Matching 401(k) - $$$$
• Generous PTO Policy
• Virtual Team Lunches
• Wellness Program
• Monthly Mingles
• Birthday Celebrations
• Virtual Events- Happy Hours, Casino Night, Magic Show, Scavenger Hunt of National History Museum, Game Nights and more