21 days ago
Base Salary
$157k - $235k/yr
Responsibilities
- Lead the design and evolution of a petabyte-scale, multi-region Activations Backend platform.
- Architect and build large-scale data pipelines using Spark, Dataproc, SingleStore, Kubernetes/GKE, and streaming systems.
- Design workflow orchestration, queueing, scheduling, retries, compensation, caching, and observability patterns.
- Improve multi-tenant fairness, scalability, latency, reliability, performance, and infrastructure cost.
- Own critical production services, coordinate incident response and postmortems, and drive structural operational improvements.
- Define technical strategy for major backend areas from design through rollout and long-term maintenance.
- Evaluate AI-enhanced development and operational tooling and help establish team best practices.
- Mentor engineers through design and code reviews, pairing, technical guidance, and feedback.
- Represent Activations Backend in cross-team architecture forums and external venues.
Requirements
- 5+ years of experience writing and deploying high-quality production code in a modern language such as Java, Go, Scala, or a similar language.
- Experience leading the design and delivery of large-scale distributed or big data systems with measurable business impact.
- Strong data engineering and SQL skills, including modeling data and optimizing complex queries on very large tables.
- End-to-end data pipeline experience covering ingestion, transformation, orchestration, failure handling, and observability.
- Experience with cloud environments, ideally GCP, and containerized workloads such as Kubernetes/GKE or similar.
- Ability to define technical strategy, evaluate tradeoffs, align stakeholders, and deliver incremental value on multi-quarter initiatives.
- Excellent communication, collaboration, cross-functional influence, and consensus-building skills.
- Demonstrated ability to mentor and grow engineers and provide effective feedback.
- Preferred experience with GCP services including GCS, Dataproc, GKE, Pub/Sub, BigQuery, and IAM.
- Preferred experience with Temporal, Cadence, Airflow, or similar workflow orchestration systems.
- Preferred experience with Apache Spark, SingleStore, BigQuery, Snowflake, Kafka, Redpanda, or equivalent data and streaming platforms.
- Experience designing multi-tenant systems with rate limits, fairness, and SLAs, plus performance and cost optimization for large-scale workloads.
- Experience in advertising, marketing, data activation, or other correctness-, timeliness-, and scale-critical systems is preferred.
- Experience using AI-enabled development tools, or strong interest in learning and adopting them.
Tech Stack
Apache AirflowApache KafkaApache SparkGoGoogle BigQueryGoogle Cloud PlatformJavaKubernetesScalaSingleStoreSnowflakeSQL
Categories
BackendData Engineering
About LiveRamp
LiveRamp builds a data collaboration and identity resolution platform used by brands, publishers, and agencies to connect and activate customer data across channels with privacy controls. It sells enterprise software and services—including data clean rooms, onboarding, and a data marketplace—typically via subscriptions and usage-based fees. Founded in 2011 and headquartered in San Francisco, it is a public company traded on the NYSE.