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Staff Data Platform Engineer

1 month, 1 week ago
Europe
Lead
Data Engineer
Software Development
Apache Spark AWS CI/CD Kubernetes Python Snowflake Terraform
Apply Now
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
View All Jobs 3

Description

  • Build the data control plane for data products, including schemas, lineage, ownership, freshness commitments, quality, and access.
  • Build the paved road for creating data products with libraries, SDKs, templates, and data-specific CI/CD.
  • Build the enforcement layer for data standards, including schema registry, contract validation, and automated certification.
  • Make data products observable by default with instrumentation for freshness, volume, schema conformance, and quality.
  • Integrate platform observability with Kargo's existing monitoring and metadata for AI-assisted triage.
  • Set the platform's technical direction, including architecture, roadmap, and build-versus-buy decisions.
  • Run design reviews with producers and consumers of data to gather input and align the platform.
  • Create modular platform capabilities that other teams across Kargo can contribute back to.
  • Work directly with the Sr. Director of Data Engineering to shape standards and grow the team over time.

Requirements

  • Built loosely coupled production services, APIs, and SDKs in Python used by multiple teams.
  • Experience building metadata-driven platforms that integrate with catalogs and automatically check lineage, contracts, and quality.
  • Experience building observability that other teams depend on.
  • Ability to drive adoption through architecture reviews, mentorship, and clear communication.
  • Strong AWS, Terraform, and Kubernetes experience.
  • Experience moving from batch to streaming, including understanding cost tradeoffs (strongly preferred).
  • Experience with Spark and Iceberg at significant scale, and Snowflake in production (strongly preferred).
  • Experience in ad tech or another high-volume event-data domain with multiple consumers (strongly preferred).
  • Experience building tooling and data structures that AI agents operate against (strongly preferred).
  • Experience standing up the first generation of a platform team’s capabilities (nice to have).
  • Experience with data catalog, semantic layer, or governance tooling (nice to have).

Interested in this position?

Apply directly on the company website

Apply Now

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