PreSales Engineer, Databricks

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

📋 Description

• Facilitate technical discovery workshops to gain insights into customer business objectives, data challenges, and existing architecture.

• Create and present scalable solution architectures based on Databricks that are customized to fit customer environments and business aims.

• Develop and deliver engaging demos, prototypes, and proofs-of-concept that highlight the functionalities 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 documentation.

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

• Design scalable data architectures using Databricks, incorporating Lakehouse, Delta Lake, and Unity Catalog patterns.

• Provide guidance to customers on best practices for data pipelines, data modeling, and platform governance.

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

• Identify and address technical risks early in the sales cycle to ensure successful delivery team outcomes.

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

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

• Stay updated on Databricks platform releases, including Mosaic AI, MLflow, and Feature Store.

• Act as a Databricks expert within the BIG organization, sharing insights and empowering the wider team.

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

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

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

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

⛳️ Requirements

• 5+ years of experience in a pre-sales, sales engineering, or technical consulting position 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 knowledge in at least one core data domain: big data engineering (Spark, Kafka), Data Warehousing & ETL, or Data Science & ML.

• Proficient in SQL and skilled in at least one programming language such as Python, Scala, Java, or R.

• Proven capability to convert business needs into technical solutions and secure stakeholder endorsement at all levels.

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

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

• Exceptional written and verbal communication skills — able to clarify complex subjects in an engaging manner.

🏝️ Benefits

• Competitive compensation, comprehensive benefits, and a team that celebrates successes together.

• Flexible, remote-friendly work environment.