Senior Data Engineering Lead — Scalable Pipelines & AI

DeepMind Technologies Limited; Seattle (WA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) match

Paid Vacation

Sick Time

Maternity Leave

Baby Bonding Leave

Holidays

Job summary

Google DeepMind is seeking a senior data engineering leader to architect and operate scalable data pipelines across Gemini surfaces. You will collaborate with Data Science to drive a Modern Data Warehouse, ensuring quality, reliability, and observability for production datasets at a global scale.

You will mentor engineers, drive cross-functional initiatives, and shape data products that power experimentation, product analytics, and model training loops, while aligning with stakeholders across

Qualifications

• Bachelor's degree in Computer Science or related technical field or equivalent practical experience.

Responsibilities

• Work with Data Science to define goals for a Modern Data Warehouse.

Skills

Go/C++

Leadership

Data Engineering

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Spark

Flink

Beam

Airflow

BigQuery

Snowflake

Job description

Google DeepMind is seeking a senior data engineering leader to architect and operate scalable data pipelines across Gemini surfaces. You will collaborate with Data Science to drive a Modern Data Warehouse, ensuring quality, reliability, and observability for production datasets at a global scale.

You will mentor engineers, drive cross-functional initiatives, and shape data products that power experimentation, product analytics, and model training loops, while aligning with stakeholders across