PreSales Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Act as the technical liaison between our sales team and potential clients, leveraging extensive Databricks knowledge alongside robust business insight to craft persuasive data and AI solutions.

• Manage the technical aspects of the sales process — from initial discovery and architecture planning to solution showcases and proof-of-concept (POC) execution.

• Conduct technical discovery workshops to grasp customer business goals, data challenges, and existing architecture.

• Create and present scalable Databricks-based solution architectures customized to client environments and business objectives.

• Develop and deliver engaging demos, prototypes, and proofs-of-concept that highlight the capabilities of the Databricks Lakehouse Platform.

• Collaborate closely with Account Executives throughout the sales process to formulate effective technical strategies.

• Address RFPs, RFIs, and security questionnaires with precise, clear, and persuasive technical content.

• Simplify intricate technical concepts into business value for both technical stakeholders and executive audiences.

• Design scalable data architectures on Databricks, encompassing Lakehouse, Delta Lake, and Unity Catalog patterns.

• Guide clients on best practices for data pipelines, data modeling, and platform governance.

• Provide advice on integrating Databricks with hyperscaler environments (AWS, Azure, GCP) and related data tools.

• Identify and mitigate technical risks early in the sales cycle to ensure success for delivery teams.

• Showcase Databricks capabilities for Data Science, ML, and Generative AI applications.

• Work alongside Data Scientists and ML Engineers to create AI-driven demo assets and reference architectures.

• Keep up to date with Databricks platform updates, including Mosaic AI, MLflow, and Feature Store.

• Act as the in-house Databricks expert within BIG — sharing insights and empowering the wider team.

• Contribute reusable demo assets, accelerators, and technical playbooks.

• Represent BIG at customer events, webinars, and Databricks partner initiatives.

• Provide field input to Databricks product and partner teams to shape the product roadmap.

• Willingness to travel approximately 40% for customer meetings and partner collaboration.

⛳️ Requirements

• 5+ years of experience in a pre-sales, sales engineering, or technical consulting role with a focus on customer interaction.

• 3+ years of practical experience with Databricks in a technical role.

• At least one Databricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning Professional).

• Strong expertise in at least one primary data domain: big data engineering (Spark, Kafka), Data Warehousing & ETL, or Data Science & ML.

• Proficiency in SQL and competence in Python, Scala, Java, or R.

• Demonstrated ability to convert business needs into technical solutions and achieve stakeholder agreement at all levels.

• Experience in designing, presenting, and implementing production data architectures for enterprise clients.

• Familiarity with cloud platforms: AWS, Azure, and/or GCP.

• Exceptional written and verbal communication skills — capable of making complex subjects accessible and engaging.

🏝️ Benefits

• Competitive compensation

• Flexible, remote-friendly work environment

• Access to over 10 cutting-edge technology practices and opportunities for continuous learning