Senior Data Platform Engineer — Lead Analytics & AI

Beamery

United States

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Beamery is seeking a Senior Data Engineer to architect and evolve a cutting-edge data platform that serves internal and external customers. You will own scalable ETL pipelines, semantic models, and self‑service analytics while mentoring engineers and collaborating across product teams.

You will work with a modern stack (dbt, BigQuery, Kafka, Kubernetes, Python, Node.js) to deliver reliable data products and support Beamery’s AI-driven insights strategy across the organization.

Qualifications

  • Experience building robust data platforms and data architectures.
  • Proven ability to design scalable data pipelines, models and analytics layers.
  • Strong communication and mentoring skills within a fast-moving team.

Responsibilities

  • Architect and evolve a world-class data platform with scalable pipelines and storage.
  • Lead the analytics and semantic layer, defining metrics and business signals.
  • Develop high-quality data products enabling self-service insights.
  • Mentor and guide a team of data and software engineers.
  • Collaborate with cross-functional teams to translate needs into data solutions.
  • Pioneer AI-first development practices and improve velocity of delivery.
  • Influence strategic decisions shaping Beamery's data platform.

Skills

Data engineering
Mentoring / leadership
Strong communication
Problem solving
Backend awareness

Education

Bachelor's degree in CS or related field
Master's degree preferred

Tools

dbt
BigQuery
Kafka
PostgreSQL
MongoDB
Node.js
Kubernetes
Python
Segment

Job description

Beamery is seeking a Senior Data Engineer to architect and evolve a cutting-edge data platform that serves internal and external customers. You will own scalable ETL pipelines, semantic models, and self‑service analytics while mentoring engineers and collaborating across product teams.

You will work with a modern stack (dbt, BigQuery, Kafka, Kubernetes, Python, Node.js) to deliver reliable data products and support Beamery’s AI-driven insights strategy across the organization.

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