Data Engineering Lead
Posted 6hrs ago
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Job Description
Data Engineering Lead architecting Seer Interactive’s GCP data platform and agentic engineering workflows. Enabling governed analytics and AI products for digital marketing clients.
Responsibilities:
- 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



















