Kargo

Kargo

Kargo specializes in creating innovative advertising solutions that enhance mobile, CTV, social, and e-commerce campaigns, enabling brands to effectively connect with consumers through high-quality mobile ad experiences.

Media
251-1K
Founded 2003

Description

  • Build and sequence a new identity graph, including identifier sync, translation, clustering, and opt-out handling.
  • Standardize partner and client onboarding across web, CTV, and mobile identifiers, including cleanroom onboarding.
  • Prepare the identity audience data layer for self-serve audience creation, activation, state, and reporting.
  • Own observability and alert response by centralizing signals, monitors, and alerts, and creating runbooks and triage context.
  • Lead and grow the domain’s data engineers through standards, code reviews, knowledge-sharing, and ADRs.
  • Set technical direction for the domain and raise engineering standards for testability and cost efficiency.
  • Collaborate with Product, Data Partnerships, and Data Science to turn ambiguity into a sequenced roadmap.
  • Develop and maintain data pipelines and transformations that support scalable ingestion and reporting.

Requirements

  • Experience designing and owning large-scale, interdependent data systems, including at least one built from scratch.
  • Experience leading engineers while staying hands-on, including setting direction, reviewing work, and developing people.
  • Strong Python, Airflow, and Spark skills, with idiomatic, testable, cost- and performance-tuned transformations.
  • Strong SQL skills, especially in Snowflake.
  • Experience with AWS and Kubernetes, including reading infrastructure logs to diagnose failures and slowness.
  • Experience working with third-party APIs inside ingestion pipelines.
  • Fluency with AI tooling in day-to-day work and an understanding of how to make codebases legible to AI tools.
  • Preferred: identity resolution or graph work in AdTech, including matching and device/household graphs.
  • Preferred: experience with privacy and consent obligations such as opt-outs, deletion, GDPR, and CCPA.
  • Preferred: experience with data cleanrooms for partner or client onboarding.
  • Preferred: CI/CD with GitHub Actions or ArgoCD, and monitoring with VictoriaMetrics, Prometheus, or Grafana.
  • Nice to have: production-scale Iceberg or a comparable table format.
  • Nice to have: streaming or near-real-time processing tools such as Kafka or Redpanda.
  • Nice to have: low-latency stores such as Aerospike.
  • Nice to have: experience with OLAP databases like Clickhouse.

Interested in this position?

Apply directly on the company website

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