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

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CoEnterprise

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CoEnterprise is a leading provider of supply chain and business analytics software and services that enable companies to make faster and smarter decisions. The company offers a suite of solutions including Syncrofy, a platform that provides supply chain and B2B/EDI visibility, compliance, and managed services. CoEnterprise specializes in helping businesses with real-time data access, EDI/B2B integration, and data analytics, leveraging advanced technologies such as AI and machine learning to improve decision-making and operational efficiency. They are recognized for their expertise in the implementation and management of IBM Sterling solutions and for providing comprehensive data analytics services with tools like Tableau.

Sterling Integrator • Sterling Selling and Fulfillment • Tableau • B2B software • supply chain

51 - 200 employees

Founded 2010

🤝 B2B

☁️ SaaS

📋 Description

• We are looking for a highly skilled and motivated Sales Engineer with deep expertise in cloud data warehousing, data engineering, and AI/ML to join our growing sales engineering team. • In this client-facing role, you will collaborate with the sales team to present tailored, cutting-edge solutions that leverage platforms like Databricks and Snowflake for cloud data warehousing and AI/ML integration. • You will be the bridge between business needs and technical solutions, helping customers navigate complex data challenges and drive impactful outcomes with data engineering and AI technologies. • 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. • 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. • Act as a trusted advisor to customers, helping them 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. • 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.

🎯 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. • 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