Remote Data Platform Lead - AI-Driven Analytics Architect

Seer Interactive; Oregon; Hybrid; USD 140,000 - 160,000; Full time

Job summary

Seer Interactive is a remote‑first digital marketing consultancy seeking a Senior Data Platform Engineer to define architecture and standards for our data stack. You will own end‑to‑end pipelines using BigQuery, Dataflow, Airflow, Looker, and dbt, while mentoring engineers across teams.

You will optimize costs, build AI‑powered observability, and collaborate with product and analytics to deliver fast, reliable data for decision making. This role supports US hours with a Philadelphia HQ option.

Qualifications

• Expert-level fluency across the GCP data stack, including production pipelines end-to-end.
• Expert command of analytics and BI layer: modular dbt projects, reusable LookML, Looker explores, and embedded dashboards.
• Expert Git and version control skills, with CI/CD pipelines and automated test gates.
• Comfort working with AI/LLM tools beyond surface-level usage in engineering workflows.
• Proactive communication and strong estimation skills to support deadlines.
• Ability to brief SLT on cost-saving initiatives and explain technical decisions to juniors.

Responsibilities

• Set the technical direction for Seer's data platform and define architecture standards.
• Own data platform end-to-end across BigQuery, Dataflow, Airflow, Cloud Run, and related tools.
• Model data and surface governance through LookML and a Looker interface.
• Automate dbt routines and assess downstream impacts of schema changes.
• Build triage agents to diagnose data quality and pipeline issues.
• Improve observability with AI-powered workflows and cost optimization.
• Document playbooks and onboarding paths for new hires; mentor engineers.

Skills

Leadership & mentorship

Communication

Estimation & planning

Technical authority

AI/LLM tooling experience

Tools

BigQuery

Dataflow

Airflow

LookML/Looker

dbt

CI/CD pipelines

Git

Job description

Seer Interactive is a remote‑first digital marketing consultancy seeking a Senior Data Platform Engineer to define architecture and standards for our data stack. You will own end‑to‑end pipelines using BigQuery, Dataflow, Airflow, Looker, and dbt, while mentoring engineers across teams.

You will optimize costs, build AI‑powered observability, and collaborate with product and analytics to deliver fast, reliable data for decision making. This role supports US hours with a Philadelphia HQ option.