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

Description:

• The position is for a Pre-Sales Engineer specializing in Cloud Data Warehouse, Data Engineering, and AI, based in the United States.
• The role involves acting as a technical advisor to help clients solve complex data challenges through innovative solutions in cloud data warehousing, AI/ML, and data engineering.
• Responsibilities include collaborating with sales teams to assess client needs and designing scalable cloud data architectures tailored to business goals.
• The engineer will deliver product demos, Proofs of Concept (POCs), and presentations that showcase the value of cloud and AI/ML solutions.
• Leading technical workshops and building scopes of work that align with client objectives is a key accountability.
• Advising clients on data engineering workflows, ETL pipelines, and AI/ML model integration is essential.
• The role requires guiding customers through complex analytics strategies, real-time data processing, and predictive analytics use cases.
• Acting as a trusted advisor throughout the customer lifecycle to ensure technical alignment and satisfaction is crucial.
• The engineer will share insights and best practices through documentation, training, and enablement.
• Staying current with trends in cloud data, machine learning, and analytics is necessary for ongoing innovation and technical excellence.

Requirements:

• Proven experience with platforms like Databricks, Snowflake, or comparable cloud data solutions such as BigQuery or Redshift is required.
• Strong expertise in data engineering concepts, including ETL/ELT pipelines and big data frameworks, is essential.
• A solid understanding of AI/ML technologies, including model deployment and integration into data systems, is necessary.
• Familiarity with cloud services across AWS, Azure, or GCP for data storage, processing, and analytics is required.
• The ability to communicate complex technical concepts to both technical and non-technical audiences is essential.
• Experience working with senior-level stakeholders in a pre-sales, sales engineering, or technical consulting capacity is required.
• A Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent experience is necessary.
• At least 5 years of experience in cloud data architecture, AI/ML, or sales engineering roles is required.
• Bonus qualifications include certifications in cloud/data platforms, proficiency in BI tools (Power BI, Tableau, Looker), familiarity with Agile/DevOps, or supply chain experience.

Benefits:

• The position offers a competitive salary with a matching 401(k).
• Comprehensive health insurance with a generous employer contribution is provided.
• A generous paid time off (PTO) policy is included.
• Employees can enjoy virtual team lunches and monthly mingles.
• Wellness programs and birthday celebrations are part of the benefits.
• Fun virtual events, including happy hours, magic shows, and game nights, are organized.
• The company promotes a dynamic, inclusive culture that celebrates diversity and encourages innovation.