Lead Data Platform Engineer for Experimentation

aKube; Santa Monica (CA); Hybrid; USD 113,652 - 161,868; Full time

Job summary

aKube is seeking a Lead Data Engineer for their Experimentation Platform in Santa Monica, California. This hybrid role involves designing scalable data platforms to support experimentation and A/B testing.

The ideal candidate has over 7 years of experience in data engineering and strong skills in Python, SQL, and cloud-based architectures. Responsibilities include mentoring engineers and building robust data solutions for analytics. Competitive hourly rates apply.

Qualifications

• 7+ years of experience in data engineering or large-scale data platforms.
• Strong experience with distributed data processing and cloud-based data architectures.
• Experience building experimentation, analytics, personalization, or ML data platforms.

Responsibilities

• Design and build scalable data platforms supporting experimentation and A/B testing.
• Develop batch and streaming data pipelines for large-scale user and product datasets.
• Partner with Product, Engineering, Data Science, and Analytics teams to deliver scalable data solutions.

Skills

Python

SQL

ETL / ELT

Databricks

Snowflake

Data Modeling

Data Warehousing / Lakehouse

CI/CD for Data Pipelines

Data Quality & Data Governance

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field

Tools

Spark

Kafka

Airflow

Job description

aKube is seeking a Lead Data Engineer for their Experimentation Platform in Santa Monica, California. This hybrid role involves designing scalable data platforms to support experimentation and A/B testing.

The ideal candidate has over 7 years of experience in data engineering and strong skills in Python, SQL, and cloud-based architectures. Responsibilities include mentoring engineers and building robust data solutions for analytics. Competitive hourly rates apply.