Bits In Glass
201 - 500 employees
Founded 2002
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
💰 Private equity on 2024-03
B2B • Enterprise • Artificial Intelligence
Bits In Glass is a global boutique consulting firm that designs, builds, and manages intelligent automation and integration solutions for enterprise clients. The company specializes in enterprise AI and data engineering, low-code/no-code development, process automation (including RPA and BPA), enterprise application integration, CRM implementations, and application management services, working with partners like Appian, AWS, UiPath, MuleSoft, Snowflake, and Creatio. Bits In Glass serves industries such as banking and financial services, insurance, transportation and logistics, manufacturing and distribution, real estate, healthcare, and the public sector, helping organizations scale automation, improve efficiency, and turn data into actionable insights.
PreSales Engineer
Job not on LinkedIn
🔥 0 minutes ago
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Bits In Glass
201 - 500 employees
Founded 2002
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
💰 Private equity on 2024-03
B2B • Enterprise • Artificial Intelligence
Bits In Glass is a global boutique consulting firm that designs, builds, and manages intelligent automation and integration solutions for enterprise clients. The company specializes in enterprise AI and data engineering, low-code/no-code development, process automation (including RPA and BPA), enterprise application integration, CRM implementations, and application management services, working with partners like Appian, AWS, UiPath, MuleSoft, Snowflake, and Creatio. Bits In Glass serves industries such as banking and financial services, insurance, transportation and logistics, manufacturing and distribution, real estate, healthcare, and the public sector, helping organizations scale automation, improve efficiency, and turn data into actionable insights.
📋 Description
• 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
Apply Now
