FormativGroupRemote
Sales / Pre-Sales Engineer - Data Platform
United States of America
Full Time
3 weeks ago
No H1B
Key skills
Technical pre-salesSolutions engineeringETLELTTalendInformaticaDataStageSnowflakeDatabricksTeradatadbtBusiness intelligenceData lineageData governanceProof of conceptCloud deploymentAzureAWSRegulatory complianceBCBS 239DORAEU AI ActStructured communicationAIBICommunicationSales
About this role
FormativGroup is building a data lineage and migration impact-analysis platform for regulated enterprises. The Sales / Pre-Sales Engineer will be the technical lead in sales, conducting discovery, assessments, and proof-of-concept demonstrations to address customer migration risks and technical objections.
Responsibilities:
- Run technical discovery with data and platform leaders at regulated enterprises
- Lead the platform assessment: map the estate, score complexity, show the migration blast radius
- Own demos and POCs end to end, the SE-run POC is the primary proof in the sales cycle
- Handle technical objections (perimeter/security, cross-platform lineage, build-vs-buy) with credibility
- Scope engagements and hand off to FormativGroup delivery; stay close through landing
- Feed what you learn in the field back into product priorities
Requirements:
- 3+ yrs Technical pre-sales / solutions engineering experience, ideally selling data or platform software into enterprise or regulated buyers
- 5+ yrs Real fluency across the modern and legacy data stack: ETL/ELT (Talend, Informatica, DataStage), warehouses and lakehouses (Snowflake, Databricks, Teradata), dbt, BI, lineage, and governance
- The ability to run a POC that earns trust, not just a demo, but proof on the customer's real problem
- Comfort in front of both technical teams and senior business stakeholders
- Clear, structured communication; you lead with the conclusion
- Proficient with AI tools and fluent in using AI to enhance your own productivity and output
- AI-first thinking: you reach for AI by default to accelerate discovery, prep, analysis, demos, and POCs
- Demonstrable examples: be ready to walk us through specific ways you've used AI in real work, and the results
- Experience selling into regulated industries such as financial services, insurance, or healthcare
- Background in data migration or modernization projects
- Familiarity with regulatory drivers (BCBS 239, DORA, EU AI Act) and perimeter / sovereignty constraints
- Hands-on with cloud deployment (Azure, AWS) in customer-controlled environments