2 days ago
Base Salary
$157k - $235k/yr
Responsibilities
- Lead the design and evolution of a petabyte-scale, multi-regional Activations Backend platform.
- Architect and build large-scale batch, streaming, delta-computation, orchestration, and delivery pipelines.
- Use Spark/Dataproc, SingleStore, Kubernetes/GKE, Pub/Sub, Redpanda/Kafka, Temporal, and Cadence where appropriate.
- Design multi-tenant scheduling, queueing, caching, rate-limit, fairness, SLA, and capacity-management systems.
- Drive performance, cost, scalability, observability, SLO, and reliability improvements for large-scale workloads.
- Own critical production services, coordinate incident response and postmortems, and implement structural fixes.
- Define technical strategy, collaborate across partner teams, mentor engineers, and represent Activations Backend in architecture forums.
- Evaluate and adopt AI-enhanced development and operational tooling.
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.
- Deep experience owning end-to-end data pipelines covering ingestion, transformation, orchestration, failure handling, and observability.
- Experience with cloud environments, ideally GCP, and containerized workloads such as Kubernetes/GKE.
- Ability to define technical strategy, evaluate tradeoffs, align stakeholders, and deliver multi-quarter initiatives incrementally.
- Strong communication, collaboration, mentoring, feedback, and cross-team influence skills.
- Preferred experience with GCS, Dataproc, GKE, Pub/Sub, BigQuery, IAM, Temporal, Cadence, Airflow, Apache Spark, SingleStore, Snowflake, Kafka, or Redpanda.
- Preferred experience designing multi-tenant systems with rate limits, fairness, and SLAs, and optimizing performance and compute costs for large-scale data workloads.
- Experience in advertising, marketing, data activation, or other systems requiring high correctness, timeliness, and scale.
Benefits
- Flexible paid time off, paid holidays, work-from-home options, and paid parental leave.
- Medical, dental, vision, life and disability insurance, an employee assistance program, voluntary benefits, wellness perks, and career-growth programs.
- 401(k) matching at a 1:1 rate up to 6% of salary.
- In-person and virtual events including game nights, happy hours, camping trips, and sports leagues.
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.