Lead Data Engineer – Identity

🕒 August 13

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kargo

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

📣 Marketing

B2B • Marketing

Kargo is a mobile advertising company that creates memorable experiences for advertisers by captivating consumer attention with innovative advertising solutions. They offer exclusive omnichannel advertising strategies to leading brands, focusing on performance to deliver incremental brand lift and higher returns on ad spend. Kargo also provides a proprietary platform for publishers that maximizes revenue per impression through unique creative and targeting solutions. Founded in 2003 and headquartered in New York, Kargo emphasizes teamwork and diversity in its inclusive workplace culture.

📋 Description

• Build and direct a new multi-source identity graph, including identifier sync, translation, clustering with Data Science, 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 creation, activation, state management, and client reporting • Own and improve observability and alert response, including signals, monitors, alerts, freshness and quality commitments, AI-assisted triage context, and runbooks • Lead and develop domain data engineers by defining standards for testability, cost efficiency, and reusable patterns • Set the technical direction through hands-on coding, code reviews, knowledge-sharing, and recording decisions in ADRs • Partner with Product and Data Partnerships to turn ambiguity into a sequenced roadmap

🎯 Requirements

• Experience designing and owning large-scale, interdependent data systems, including at least one system built from scratch • Ability to turn ambiguity into a sequenced roadmap with Product and Data Partnerships • Experience leading engineers, setting direction, reviewing work, developing people, and remaining hands-on • Mastery of Python, Airflow, and Spark • Ability to write idiomatic, testable, cost- and performance-tuned transformations • Strong SQL skills for Snowflake • Experience with AWS and Kubernetes • Ability to diagnose failures and slowness by reading infrastructure logs • Experience working with third-party APIs inside ingestion pipelines • Fluency with AI tooling and designing codebases that are legible to AI tools • Strongly preferred: identity resolution or graph work in AdTech; privacy and consent obligations including opt-outs, deletion, GDPR, and CCPA; data cleanrooms; CI/CD with GitHub Actions/ArgoCD; monitoring with VictoriaMetrics/Prometheus/Grafana • Nice to have: Iceberg or comparable table formats at production scale; streaming or near-real-time processing with Kafka, Redpanda, or similar; low-latency stores such as Aerospike; OLAP databases such as ClickHouse

🏖️ Benefits

• Equal Opportunity Employer committed to an inclusive and diverse workplace • Consideration of qualified applicants with arrest and conviction records pursuant to applicable fair chance laws