Bits In Glass

Bits In Glass

Databricks PreSales Engineer

Canada Remote, Alberta, Canada

Sponsorship not specifiedDetected 33 days ago
PythonJavaScalaSQLDatabricksAWSGCPAzureCloud PlatformsKafkaMachine LearningSparkAirflowdbtData EngineeringData ScienceLLMsSalesUnityResearchCommunicationCollaborationPublic Speaking

About the role

  • Bits In Glass (BIG) is a high-growth AI and automation consulting firm with offices across Canada, the United States, India, and the United Kingdom.
  • BIG is looking for a highly motivated Databricks Pre-Sales Engineer to join our growing team.

Responsibilities

  • Lead technical discovery workshops to understand customer business objectives, data challenges, and current-state architecture.
  • Design and present scalable Databricks-based solution architectures tailored to customer environments and business goals.
  • Build and deliver compelling demos, prototypes, and proofs-of-concept showcasing the capabilities of the Databricks Lakehouse Platform.
  • Partner closely with Account Executives throughout the sales lifecycle to develop winning technical strategies.
  • Design scalable data architectures on Databricks, including Lakehouse, Delta Lake, and Unity Catalog patterns.
  • Collaborate with Data Scientists and ML Engineers to develop AI-powered demo assets and reference architectures.
  • Represent BIG at customer events, webinars, and Databricks partner activities.
  • Provide field feedback to Databricks product and partner teams to influence the roadmap.
  • Willingness to travel approximately 40% for customer meetings and partner collaboration.

Requirements

  • 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.
  • 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.
  • Working knowledge of cloud platforms: AWS, Azure, and/or GCP.
  • Excellent written and verbal communication skills - you can make complex topics clear and compelling.

Nice to have

  • A degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative field.
  • Experience with adjacent technologies such as dbt, Fivetran, Airflow, or Delta Sharing.
  • Familiarity with AI/GenAI frameworks and LLM application patterns.
  • Background in enterprise sales cycles and deal structuring.
  • DBX GenAI Engineer Associate certification
  • Why Bits In Glass?
  • Work on meaningful, high-impact data and AI projects for enterprise clients across Canada, the US, UK, and India.
  • Join a Certified Great Place to Work with a people-first, collaborative culture.

Skills

  • Our portfolio spans more than 10 leading technologies across AI, cloud, data, automation, and business applications.

Compensation

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

Benefits

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

Company info

  • Guide customers on best practices for data pipelines, data modeling, and platform governance.
  • Experience designing, presenting, and delivering production data architectures for enterprise customers.
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This listing is sourced directly from Bits In Glass's careers page and normalized into a canonical job model.