Design and implement scalable data ingestion systems that reliably connect and synchronize data
Architect and manage a high-performance data warehouse in BigQuery
Create and maintain transformation pipelines using Dataform and SQL in BigQuery
Own the DevOps lifecycle for your pipelines and infrastructure using IaC tools like Terraform
Partner with business stakeholders and product designers to define needs and deliver clean, modeled datasets that support customer decision-making

Proven, production-level skills in SQL, data warehousing, and data modeling
Approximately 6+ years of relevant experience
Direct experience with data sync tools like Airbyte or similar integration platforms is a strong plus
You're comfortable working across the full data layer, from raw ingestion to clean, modeled datasets ready for analytical and AI consumption
Familiarity with BI tools and semantic layers (we use Cube) is an asset
You have hands-on experience deploying and operating cloud-native data infrastructure
Comfortable with IaC tools like Terraform and owning the full lifecycle of your pipelines in production
You translate complex data architecture decisions into clear business impact for any audience
You document your thinking well

Senior Data Engineer – Agentic RevOps

Key skills