Staff Data Engineer - Platform Architect & Tech Leader

Rocket; Los Angeles (CA); On-site; USD 129,000 - 276,000; Full time

Job summary

Rocket is seeking a Staff Data Engineer to architect and evolve enterprise-scale data pipelines across multi-cloud and on-prem environments, ensuring secure, scalable, and cost-efficient solutions that power analytics and customer experiences.

You will lead design decisions, mentor engineers, and collaborate with stakeholders to define standards, CI/CD, and governance while advancing a data-driven culture.

Qualifications

• 9+ years building data solutions with relational and non-relational databases and real-time data pipelines.
• 7+ years in dimensional or tabular data modeling and leading design reviews.
• Deep expertise architecting complex data transformation pipelines across domains.
• Experience with CI/CD, automated deployments, and DevOps at scale.
• Expertise writing and optimizing complex SQL queries in high-volume environments.
• Experience with serverless/cloud-native services such as AWS Lambda.

Responsibilities

• Architect and evolve enterprise-scale data pipelines and platforms for batch, real-time, and event-driven use cases.
• Lead design and development of models across multiple business domains.
• Build and optimize large-scale distributed data processing jobs focusing on scalability and cost-efficiency.
• Establish data quality, governance, and observability practices across pipelines.

Skills

SQL queries

Python

Data modeling

Leadership

CI/CD

Data governance

Analytics

Problem solving

Cloud architecture

Education

Bachelor's or Master’s degree in CS/IT

Tools

Airflow

Dagster

Prefect

AWS Lambda

Job description

Rocket is seeking a Staff Data Engineer to architect and evolve enterprise-scale data pipelines across multi-cloud and on-prem environments, ensuring secure, scalable, and cost-efficient solutions that power analytics and customer experiences.

You will lead design decisions, mentor engineers, and collaborate with stakeholders to define standards, CI/CD, and governance while advancing a data-driven culture.