Senior Data Engineer

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 system
• s.Drive collaboration across engineering and analytics teams to support data-driven initiative
• s.Tackle large-scale data challenges that impact multiple business domains and customer-facing system

s.
About yo

• u: 5+ years of experience in Data Engineering or a related technical ro
• le.Deep expertise in data modeling, ETL/ELT architecture, and S
• QL.Proficiency in Python for data transformation, automation, and tooli
• ng.Hands-on experience with modern data stack tools such as DBT, FiveTran, and Airflow (or similar ETL orchestration system
• s).Experience with at least one major cloud data platform (e.g., GCP BigQuery, AWS Redshift, Azure Synapse, or Snowflak
• e).Understanding of data reliability, governance, and distributed computi
• ng.Experience supporting data platforms (access, cost optimization, monitorin
• g).Excellent communication skills and ability to work cross-functionally with technical and non-technical partne
• rs.A self-starter who thrives in fast-paced, evolving environmen

ts.
Preferred Ski

• lls:Hands-on experience with Google Cloud Platform (BigQue
• ry).Experience with PySpark or distributed data processing framewo
• rks.Experience building custom data frameworks or automation tool
• ing.Exposure to data product management and data observability platfo