Principal Data Engineer — Data Platform & Analytics Lead

Orum ?; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible Vacation Policy

30+ paid holidays annually

Stock options

Health, dental, and vision insurance

Life & Disability package

Parental leave

Equipment reimbursement

Job summary

Orum is building the next generation of its data platform, with a modern analytics stack including ClickHouse, BigQuery, dbt, and Looker. You will own the data platform end-to-end, guiding architecture, reliability, and scalability for analytics, BI, and product decisions.

As Principal/Staff Data Engineer, you’ll split time ~70% data engineering and ~30% analytics/BI, partnering with Product, Finance, GTM, and Operations to turn business questions into scalable data models and dashboards.

Qualifications

• 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 ClickHouse and BigQuery.
• Experience owning or administering Looker in production, including LookML development and performance optimization.

Responsibilities

• 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 ClickHouse, BigQuery, and other analytical systems.
• Design robust dbt transformation layers and reusable, well-documented data models.
• Own the reliability, performance, cost, and scalability of ClickHouse and BigQuery 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

Skills

SQL

Data modeling

dbt

Looker

LookML

ClickHouse

BigQuery

Kafka

Pub/Sub

Cloud infrastructure

Data architecture

Tools

ClickHouse

BigQuery

Kafka

Pub/Sub

Job description

Orum is building the next generation of its data platform, with a modern analytics stack including ClickHouse, BigQuery, dbt, and Looker. You will own the data platform end-to-end, guiding architecture, reliability, and scalability for analytics, BI, and product decisions.

As Principal/Staff Data Engineer, you’ll split time ~70% data engineering and ~30% analytics/BI, partnering with Product, Finance, GTM, and Operations to turn business questions into scalable data models and dashboards.