Data Engineering Lead - Remote AI-Driven Platform Architect

Remote; San Francisco (CA); A distancia; USD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Seer Interactive is seeking a Data Engineering Lead to architect and own our data platform, enabling analysts and LLMs to query a single source of truth. You will shape the modern marketing data stack, build agent-based workflows, and mentor engineers with a focus on governance and scalability.

You will drive cost-aware design, collaborate across teams, and push for reliable, scalable pipelines while aligning with our remote-first culture and US-based hours.

Formación

• Experience designing data platforms and production pipelines.
• Proficiency with GCP data services and Looker/LookML.
• Strong SQL and data modeling skills.
• Experience mentoring engineers and leading teams.
• Excellent communication and estimation skills.

Responsabilidades

• Define architecture and standards for Seer's data platform.
• Own data platform end-to-end across BigQuery, Dataflow, Airflow, Cloud Run, Cloud Functions, Datastore, Cloud Storage.
• Model data with dimensional modeling and a governed LookML semantic layer.
• Structure data for agents to provide accurate answers to non-technical users.
• Automate dbt tests and documentation; assess downstream schema changes.
• Build triage agents to diagnose pipeline failures and data quality alerts.
• Reduce cost and latency by tuning queries and dashboards; mentor engineers.

Conocimientos

GCP data stack

BigQuery

Dataflow

Airflow

LookML

SQL

Git / version control

CI/CD pipelines

AI / LLM tools

Mentorship & leadership

Herramientas

dbt

Looker

Descripción del empleo

Seer Interactive is seeking a Data Engineering Lead to architect and own our data platform, enabling analysts and LLMs to query a single source of truth. You will shape the modern marketing data stack, build agent-based workflows, and mentor engineers with a focus on governance and scalability.

You will drive cost-aware design, collaborate across teams, and push for reliable, scalable pipelines while aligning with our remote-first culture and US-based hours.