PreSales Engineer, Databricks

Bits In Glass

Databricks Pre-Sales Engineer at Bits In Glass bridging sales and technical aspects. Leading technical discovery, designing solutions, and collaborating with sales teams.

Posted 6/20/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformJavaKafkaPythonScalaSparkSQLUnity

About the role

Key responsibilities & impact

Serve as the technical bridge between sales organization and prospective customers
Lead technical discovery workshops to understand customer business objectives
Design and present scalable Databricks-based solution architectures
Build and deliver compelling demos, prototypes, and proofs-of-concept
Partner closely with Account Executives throughout the sales lifecycle
Respond to RFPs, RFIs, and security questionnaires with clear, accurate content
Translate complex technical concepts into business value for stakeholders
Guide customers on best practices for data pipelines and modeling
Advise on integration of Databricks with hyperscaler environments
Identify and mitigate technical risks early in the sales process
Demonstrate Databricks capabilities for Data Science, ML, and Generative AI use cases
Collaborate with Data Scientists and ML Engineers to develop AI-powered demo assets
Stay current on Databricks platform releases

Requirements

What you’ll need

5+ years in a pre-sales, sales engineering, or technical consulting role with a customer-facing focus
3+ years of hands-on experience with Databricks in a technical capacity
At least one Databricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning Professional)
Strong expertise in at least one core data domain: big data engineering (Spark, Kafka), Data Warehousing & ETL, or Data Science & ML
Fluency in SQL and proficiency in Python, Scala, Java, or R
Proven ability to translate business requirements into technical solutions and gain stakeholder buy-in at all levels
Experience designing, presenting, and delivering production data architectures for enterprise customers
Working knowledge of cloud platforms: AWS, Azure, and/or GCP
Excellent written and verbal communication skills — you can make complex topics clear and compelling.

Benefits

Comp & perks

Competitive compensation
Access to 10+ cutting-edge technology practices
Continuous learning opportunities
Flexible, remote-friendly work environment
Celebrates wins together

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

DatabricksSQLPythonScalaJavaRbig data engineeringSparkKafkaData Warehousing

Soft Skills

communicationstakeholder managementtechnical discoveryproblem-solvingcollaborationpresentation skillscustomer focusrisk mitigationbusiness value translationbest practices guidance

Certifications

Databricks Professional-level certificationData Engineer ProfessionalMachine Learning Professional