Data Engineering Lead

Job Description:

• Set the technical direction and architecture standards for Seer’s data platform
• Own the data platform end-to-end across BigQuery, Dataflow, Airflow, Cloud Run, Cloud Functions, Cloud Storage, and ingestion tools such as Fivetran
• Define data modeling and serving standards using dimensional modeling, dbt incremental models, LookML, Looker, row-level security, and MCP
• Structure data for agents to provide correct, deterministic answers to non-technical users
• Automate dbt testing, documentation, schema-change impact assessment, and migration or backfill planning
• Build triage agents that diagnose pipeline failures and data-quality alerts and fix or recommend fixes
• Improve observability through AI-powered workflows
• Reduce BigQuery costs and dashboard load times
• Document systems through playbooks, decision records, and onboarding paths
• Mentor data engineers and analysts through code reviews, pairing, and technical guidance
• Collaborate with project managers and provide estimates and deadline feasibility visibility
• Lead architectural decisions and influence the end-to-end operation of Seer’s data stack

Requirements:

• Expert-level fluency across the GCP data stack, including BigQuery, Dataflow, Airflow, Cloud Run, Cloud Functions, Datastore, and Cloud Storage
• Track record of architecting production pipelines end-to-end
• Expert command of modular dbt projects, reusable LookML, Looker explores, embedded dashboards, and proprietary cross-platform data models
• Advanced SQL skills
• Expert Git and version control skills
• Experience designing CI/CD pipelines with multi-stage deploys, automated test gates, and production debugging
• Experience crafting layered, context-aware prompts and building LLM evaluation harnesses
• Experience integrating LLMs into engineering workflows
• Strong estimation skills
• Track record of leading through technical authority and mentorship
• Ability to work continental US-based hours
• Marketing context and interest in clients, campaigns, and strategy
• Ability to manage time, context-switch, juggle multiple priorities, and adapt to new tools and processes

Benefits:

• Final offered compensation determined by skills and experience
• Compensation evaluated at least once a year
• Remote-first work arrangement
• Option to work from the HQ office in Philadelphia
• Certified B-Corp organization
• Inclusive environment and equal opportunity employment