Security Engineer responsible for driving technical sales and customer engagement for Tenable's cybersecurity products. Collaborate cross - functionally to develop business propositions and solutions for customers.
About the role
- Pre-Sales Engineer specializing in Databricks solutions for Bits In Glass AI consulting firm. Engaging with customers to design data and AI solutions throughout the sales cycle.
Responsibilities
- Serve as the technical bridge between our sales organization and prospective customers, combining deep Databricks expertise with strong business acumen to design compelling data and AI solutions.
- Own the technical side of the sales cycle — from discovery and architecture design to solution demonstrations and proof-of-concept (POC) delivery.
- 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.
- Respond to RFPs, RFIs, and security questionnaires with clear, accurate, and persuasive technical content.
- Translate complex technical concepts into business value for both technical stakeholders and executive audiences.
- Design scalable data architectures on Databricks, including Lakehouse, Delta Lake, and Unity Catalog patterns.
- Guide customers on best practices for data pipelines, data modeling, and platform governance.
- Advise on integration of Databricks with hyperscaler environments (AWS, Azure, GCP) and adjacent data tooling.
- Identify and mitigate technical risks early in the sales process to set delivery teams up for success.
- 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 and reference architectures.
- Stay current on Databricks platform releases, including Mosaic AI, MLflow, and Feature Store.
- Serve as a resident Databricks expert within BIG — sharing knowledge and enabling the broader team.
- Contribute reusable demo assets, accelerators, and technical playbooks.
- 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.
- 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
- Flexible, remote-friendly work environment
- Access to 10+ cutting-edge technology practices and continuous learning opportunities
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