Principal Data Engineer

About Orum

Orum’s AI-powered suite frees salespeople to do what they do best: connect, listen, and sell. Our products gives sales teams everything they need to connect faster, sell smarter, and grow revenue. From intelligent dialing and real-time conversation insights to AI-driven coaching and virtual sales floors, Orum is powering thousands of sales teams to have more meaningful conversations and turn every call into measurable impact.

Companies who use Orum connect 5x faster and book millions in new pipeline every month.

We are a team of builders and dreamers creating a future where work feels more meaningful and connected. If you’re excited to change how the world sells, join us. For more information, visit

We’re building the next generation of Orum’s data platform, including a modern analytics stack powered by Click House, Big Query, dbt, and Looker. This platform supports customer-facing analytics, internal business intelligence, product decision-making, and future AI-powered products.

We’re looking for a Principal/Staff Data Engineer to own this ecosystem end-to-end, a foundational data hire with broad responsibility across data engineering (~70%) and analytics/BI (~30%). You’ll own the architecture, reliability, and evolution of our data platform, working closely with Engineering, Product, Finance, Go-to-Market, and Operations to build scalable data systems and a trusted analytics layer the whole company can use.

• Define and drive Orum’s data platform architecture and technical roadmap
• Build and maintain scalable ETL/ELT pipelines from PostgreSQL, application systems, and event streams into Click House, Big Query, and other analytical systems
• Design robust dbt transformation layers and reusable, well-documented data models
• Own the reliability, performance, cost, and scalability of Click House and Big Query workloads
• Build real-time and batch data pipelines for analytics, product, and AI use cases, including large-scale event, call, transcript, and conversational data
• Establish standards for data quality, testing, lineage, governance, and observability
• Own Orum’s Looker environment end-to-end, including LookML models, explores, dashboards, permissions, and performance
• Develop a trusted semantic layer with consistent metric and dimension definitions company-wide
• Partner with Product, Finance, GTM, and Operations to translate business questions into scalable data models, dashboards, and self-service analytics
• Support high-impact ad hoc analysis and help establish processes for dashboard ownership, metric governance, and data literacy

• 8+ years of experience in Data Engineering, Analytics Engineering, Platform Engineering, or related data roles
• Deep expertise in SQL, data modeling, dimensional modeling, and analytics-oriented schema design
• Hands-on experience with dbt and modern ELT architectures
• Strong experience with analytical databases and warehouses such as Click House and Big Query
• Experience owning or administering Looker in production, including LookML development and performance optimization
• Experience with streaming technologies such as Kafka, Pub/Sub, or similar
• Strong understanding of cloud infrastructure, distributed systems, and data platform architecture
• Ability to operate with high ownership, drive ambiguous initiatives independently, and communicate complex data concepts to technical and non-technical audiences alike

• Deep experience operating Click House at scale
• Experience owning or migrating a Looker implementation
• Experience with product analytics or customer-facing analytics platforms
• Familiarity with LLM infrastructure, embeddings, RAG systems, or AI data pipelines
• Experience with conversational, telephony, or other…