Own the Analytics Infrastructure: You are the end-to-end owner of our GCP-based data infrastructure — including ingestion, movement, storage, security, and availability. You build and operate reliable, scalable pipelines that power analytics, and partner closely with the Analytics team on downstream transformation and BI.
Maximize the GCP Ecosystem: Build cost-effective solutions anchored in GCP-native services. Know when to extend with third-party tooling or homegrown solutions, and make pragmatic tradeoffs.
Contribute Across Data Infrastructure: While analytics is the primary focus, you'll bring broad data pipeline expertise to application data needs in collaboration with the product engineering team.
Managed Services First: Favor managed solutions over self-hosting. Evaluate build vs. buy with cost and operational burden in mind.
Engineering Standards: This role reports to the Head of Data within the Engineering org. Expect PR reviews, automated testing, proper change management, and production-grade standards.
AI-First Development: Work extensively with AI coding assistants and contribute to evolving our AI development workflows and infrastructure.
Startup Pace: Priorities shift quickly. Balance long-term architectural thinking with the tactical execution the moment requires.

Requirements

8+ years of experience in data engineering with strong Python and SQL expertise
Deep expertise in GCP, with hands-on experience in BigQuery, Dataflow, Cloud Storage, and related analytics services
Proven ability to design and implement production-grade data pipelines and aggregation layers for BI and analysis
AI-first development mindset with hands-on experience building AI-driven workflows and effectively using AI coding assistants
Strong understanding of data modeling, transformation patterns, and working with dbt
Experience with data movement tools (Estuary, Airbyte, Fivetran, or similar)
Solid infrastructure and DevOps fundamentals: Terraform or similar IaC, CI/CD, Git workflows, and change management
Experience implementing observability and monitoring for data systems (DataDog, Grafana, or similar)
Strong communication skills and ability to work cross-functionally with engineering and business stakeholders
Self-directed and comfortable with ambiguity in a fast-paced startup environment
Located in the US or Canada.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLGCPBigQueryDataflowCloud Storagedata modelingtransformation patternsdbtdata pipelines

Soft Skills

strong communication skillsself-directedcomfortable with ambiguitycross-functional collaborationtactical executionlong-term architectural thinking