PreSales Engineer, Databricks
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Job Description
Databricks Pre-Sales Engineer at Bits In Glass bridging sales and technical aspects. Leading technical discovery, designing solutions, and collaborating with sales teams.
Responsibilities:
- 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:
- 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:
- Competitive compensation
- Access to 10+ cutting-edge technology practices
- Continuous learning opportunities
- Flexible, remote-friendly work environment
- Celebrates wins together
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