Senior Customer Data Engineer, Elliptic

• Expert level in (Javascript|Typescript|Python)
• Has 5+ years commercial experience
• Experience building resilient distributed architectures
• Use data to make decisions about what to build and how to iterate
• Can interpret requirements from numerous stakeholders to design solutions
• Experience guiding and mentoring junior engineers
• Enjoy working as part of a close-knit team on highly impactful problems
• Promote a positive culture of collaboration, through open and effective communication, particularly when addressing issues or raising concerns
• Are not afraid to fail, experiment often, and learn quickly

Desirable

• Great customer experiences are powered by great technical infrastructure. At Elliptic, we're not just connecting systems – we're building the integrations and custom applications that enable our revenue teams to operate at scale
• You'll be the technical architect behind our GTM technology stack, developing a cohesive data ecosystem that pulls together all of our commercial and customer data enabling our pricing engine, contract management, and business intelligence platforms
• This isn't just systems integration – you're building the technical infrastructure that enables Elliptic to deliver seamless experiences across the entire customer lifecycle, from first touch to renewal and expansion
• Architect the foundation our revenue organisation is built on; you'll define how we structure, store, and access customer data across the full lifecycle—from first touch to ongoing expansion—creating the foundation for data-driven commercial decisions and AI-powered automation
• This role sits at the intersection of data engineering, product architecture, and revenue operations
• You'll translate complex business requirements across marketing, sales, and customer success into elegant data models that enable seamless customer experiences and powerful analytics
• Design and implement a comprehensive customer data model spanning contracts, subscriptions, usage metrics, engagement signals, and commercial interactions
• Create data dictionaries, lineage, entity-relationship diagrams, and technical specifications
• Build the object-oriented data structures that power our CRM (HubSpot) and create relationships between custom objects for B2B SaaS operations
• Architect data schemas that support both transactional systems (CRM, billing, contracts) and analytical workloads (reporting, AI/ML)
• Define data governance standards, naming conventions, and quality frameworks
• Build ETL/ELT processes that create a single, unified view of the customer across all touchpoints
• Design high-performance data structures optimized for GenAI retrieval and agent-based querying
• Implement real-time and batch data sync patterns for operational and analytical use cases
• Ensure data freshness, consistency, and reliability across the full customer data ecosystem
• Create data models for screenings management and usage tracking across customer segments
• Architect self-serve purchase journey tracking with complete audit trails
• Design automation-friendly data structures for renewal and expansion pipeline generation