Data Sales Engineer
FormativGroup
| Company | FormativGroup |
| Category | Engineering |
| Location | Remote/ US - Full - Time |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 17 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About FormativGroup
FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government.
Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence.
This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business.
The Opportunity
We are adding a Data Sales Solutions Engineer to serve as the technical lead throughout the customer evaluation process.
You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit.
This is a highly consultative role, that of a founding sales engineer, which is a client-facing role that combines data architecture, solution engineering, and pre-sales experience.A founding sales engineer.
What You'll Do
Lead technical discovery sessions with data, analytics, architecture, and platform leaders.
Assess customer environments and identify data migration risks, dependencies, and lineage challenges.
Demonstrate platform capabilities and articulate business value to both technical and executive audiences.
Own proof-of-concept (POC) engagements from planning through successful completion.
Design solution approaches that address customer modernization, governance, and migration objectives.
Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities.
Collaborate closely with FormativGroup delivery teams to ensure a seamless transition from sales to implementation.
Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements.
What You'll Bring
3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role.
5+ years of experience working with modern and legacy data ecosystems.
Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms.
Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies.
Knowledge of data governance, metadata management, data lineage, and data modernization initiatives.
Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements.
Strong communication skills with the ability to engage both technical teams and executive stakeholders.
Ideal Experience
Data Architecture
Data Engineering
Data Governance
Data Migration & Modernization
Data Lineage & Metadata Management
Enterprise Analytics Platforms
Cloud Data Platforms
Regulated Industry Environments
How You Work
You thrive in environments where processes are still being built and improved.
You enjoy helping shape products, solutions, and go-to-market motions.
You are comfortable operating with ambiguity and helping define the path forward.
You approach customer challenges with curiosity, structure, and a problem-solving mindset.
AI Fluency
We believe AI should enhance productivity, analysis, and customer outcomes.
Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and
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