LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners.
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.
LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners.
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.
You will:
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 pipelines 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.
Measures of success:
Build and support reliable, automated data pipelines with minimal downtime and SLAs consistently met.
Demonstrate improvements in data platform efficiency and scalability metrics.
Adoption of best practices and data standards across teams.
Your team will:
Build and maintain LiveRamp’s data infrastructure, enabling efficient, secure, and high-quality data flow across systems.
Drive collaboration across engineering and analytics teams to support data-driven initiatives.
Tackle large-scale data challenges that impact multiple business domains and customer-facing systems.
About you:
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.
Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, accident, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth, and more. Your medical benefits extend to your dependents including parents.
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.
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