Staff / Principal Data Engineer

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

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 https://www.orum.com/.

The Role

We're building the next generation of Orum's data platform, including a modern analytics stack powered by ClickHouse, BigQuery, 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.

What You'll Do

• 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

What We're Looking For

• 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
• 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

Bonus If You Have

• Deep experience operating ClickHouse 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 large-scale unstructured datasets
• Experience in high-growth startup environments

Company Values

• Excellence - Deliver high-quality work across every function
• No Jerks - Build a team that's respectful, inclusive, and collaborative
• Accountability - Own outcomes and follow through
• Integrity - Always act honestly with customers, partners, and each other
• Stewardship - Manage our resources responsibility for sustainable growth
• Great Ideas Win - Innovation thrives when the best ideas lead, no matter where they come from

Benefits And Perks (FTE)

• Flexible Vacation Policy
• 30+ paid holidays annually, including observed holidays, the first Friday of every month off and a two-week year-end holiday break.
• Meaningful stock options in Orum
• 90% coverage for employees and dependents for healthcare, dental, and vision insurance plans
• Comprehensive Life & Disability package
• Parental leave for the primary or the secondary
• $1k equipment reimbursement for work-related items that's yours to keep
• Company retreats and meetups for all employees to connect in person
• Company ERG - Women Of Orum (WOO)

Orum Is An Equal Opportunity Employer

We're committed to continually adding to our diverse team that represents various backgrounds, perspectives, and skills. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you need assistance or accommodation due to a disability, you may contact us at [e-mail]. In short, we want you to join in on the ride if you're talented for one of our roles, with no other qualifiers.