Principal Data Engineer - Governance & Compliance

You’ll operate as an embedded subject-matter expert within the Engineering organization, reporting high into Engineering and partnering closely with Data Platform, Analytics, Product and Legal teams. You will sit at the intersection of data platform engineering, governance, and compliance, helping Vibe make its data assets easier to understand, safer to use, and ready to scale with premium publishers and enterprise advertisers.

Responsibilities

Build a clear understanding of Vibe’s key data flows, sources of truth, and ownership; Help define schemas, data contracts, documentation, and standards for how data should be used across the company; Improve data discoverability; Establish practical standards around data quality, lineage, observability, and ownership; Define, maintain and enforce data lifecycle policies; Help teams track data cost and usage; Define and implement data compliance practices aligned with Vibe’s business, partners, and regulatory needs; Partner with Legal, Product, Security, and Engineering to assess impact of new data sources, partnerships, and use cases; Support Vibe’s ability to work confidently with premium publishers, enterprise advertisers, and strategic partners; Build guardrails, not gatekeepers; Embed governance and compliance into existing engineering workflows, tools, and architectural decisions

Requirements

Hands-on experience building or operating large-scale data platforms; Strong practical experience with data governance, data quality, data contracts, lineage, access control, or compliance-oriented data architecture; A proven track record implementing compliance frameworks in real engineering systems; Experience working with sensitive, regulated, or contractually constrained data; Ability to translate legal, compliance, security, and business requirements into practical engineering solutions; Strong stakeholder management skills across Engineering, Product, Legal, Security, and Analytics; Ability to operate as a senior individual contributor with high ownership and strong influence; Comfort with ambiguity, early-stage environments, and building structure where it does not yet exist

Nice to have

Experience with adtech, connected TV, streaming TV, publisher data, or measurement platforms; Experience with identity resolution, device graphs, clean rooms, or privacy-safe data matching; Familiarity with GDPR, CCPA, SOC2, or similar compliance frameworks; Experience with modern data tooling such as Airflow, Dagster, dbt, Kafka, S3, Athena, Snowflake, BigQuery, or similar; Experience with data catalogs, lineage tooling, policy-as-code, access governance, or data observability platforms; Familiarity with ML data workflows, feature stores, model training data, or permitted use of data for ML systems

Benefits

Variable pay — based on objectives; Hybrid flexibility — in heart of Paris, team in 3x a week; Health insurance — Full coverage via Alan; Meal vouchers — Via Swile; Annual offsite; Tech Syncs — Engineering and Product meet in person at least quarterly