Senior Data Engineer at LiveRamp

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data PrivacyIndustries

Requirements

5+ years of experience in Data Engineering or a related technical role
Deep expertise in data modeling, ETL/ELT architecture, and SQL
Proficiency in Python for data transformation, automation, and tooling
Hands-on experience with modern data stack tools such as DBT, FiveTran, and Airflow (or similar ETL orchestration systems)
Experience with at least one major cloud data platform (e.g., GCP BigQuery, AWS Redshift, Azure Synapse, or Snowflake)
Understanding of data reliability, governance, and distributed computing
Experience supporting data platforms (access, cost optimization, monitoring)
Excellent communication skills and ability to work cross-functionally with technical and non-technical partners
A self-starter who thrives in fast-paced, evolving environments
Preferred Skills
Hands-on experience with Google Cloud Platform (BigQuery)
Experience with PySpark or distributed data processing frameworks
Experience building custom data frameworks or automation tooling
Exposure to data product management and data observability platforms

Responsibilities

Contribute to the design and maintenance of data pipelines that support business and product decision-making
Support the reliability and performance of data workflows across FiveTran, DBT, and Google Cloud (BigQuery)
Contribute to team-wide adoption of best practices for ETL and data automation with a focus on high data quality and system resilience
Administer and optimize data platforms, monitoring data systems for efficiency, scalability, and cost-effectiveness
Leverage frameworks and tools that support data pipeline to improve the reliability and observability of our data ecosystem
Partner with cross-functional teams (Data Science, Analytics, Engineering) to ensure that data solutions meet organizational needs
Mentor and onboard other engineers, contributing to shared standards and technical excellence

Skills

Data Pipelines

Fivetran

DBT

Google Cloud

BigQuery

ETL

Data Automation

Data Quality

Monitoring

Observability

LiveRamp

Identity platform for people-based marketing

About LiveRamp

LiveRamp offers an identity platform that connects people, data, and devices for effective marketing. This platform supports people-based marketing, allowing businesses to target their audiences more accurately. LiveRamp operates on a subscription model, providing services like data onboarding and identity resolution to help clients unify and analyze their data. The company aims to empower businesses to use data responsibly while enhancing customer experiences.

San Francisco, CaliforniaHeadquarters

2011Year Founded

$15.6MTotal Funding

IPOCompany Stage

Data & Analytics, Consumer SoftwareIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Company Match

Remote Work Options

Unlimited Paid Time Off

Paid Holidays

Paid Parental Leave

Employee Stock Purchase Plan

Wellness Program

Risks

Competitors' adoption of data clean rooms may dilute LiveRamp's market share.

DIRECTV partnership success depends on streaming platform user growth.

Life360's ad business growth could conflict with LiveRamp's existing clients.

Differentiation

LiveRamp offers a fully interoperable infrastructure for end-to-end addressability.

The platform ensures safe and responsible consumer data usage, crucial in today's privacy-conscious world.

LiveRamp's subscription model provides clients with data onboarding, identity resolution, and connectivity.

Upsides

Growing demand for data clean rooms enhances LiveRamp's market position.

Phasing out of third-party cookies boosts interest in identity resolution solutions.

Partnerships with streaming platforms expand LiveRamp's digital advertising reach.

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