Staff / Principal Data Engineer

Responsibilities

• Define and drive the 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 the production Looker environment, including LookML models, explores, dashboards, permissions, and performance.
• Develop a trusted semantic layer with consistent company-wide metric and dimension definitions.
• Partner with Product, Finance, go-to-market, and Operations teams to translate business questions into scalable data models, dashboards, and self-service analytics.
• Support high-impact ad hoc analysis and establish processes for dashboard ownership, metric governance, and data literacy.

Requirements

• 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, independently drive ambiguous initiatives, and communicate complex data concepts to technical and non-technical audiences.

Nice-to-haves

• 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, retrieval-augmented generation systems, or AI data pipelines.
• Experience with conversational, telephony, or other large-scale unstructured datasets.
• Experience in high-growth startup environments.

Benefits

• Flexible vacation policy.
• More than 30 paid holidays annually, including observed holidays, monthly company days off, and a year-end holiday break.
• Stock options.
• Healthcare, dental, and vision insurance coverage for employees and dependents.
• Life and disability insurance.
• Parental leave.
• $1,000 equipment reimbursement.
• Company retreats and meetups.
• Employee resource group.