8 дней назад
Data Governance & Platform Manager (AI)
75 000 - 120 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Governance & Platform Manager (AI/Data): Building a trustworthy data governance platform across Redshift, dbt, Airflow, Segment, Lightdash, and AI tooling with an accent on data quality, lineage, semantic metrics, event tracking, and security. Focus on designing automation, extending impact analysis and data contracts, governing AI-readable warehouse access, and shaping the Lightdash migration.
Location: Remote in Brazil, Mexico, or Colombia
Base salary: $75,000–$120,000 per year
Company
operates an on-demand marketplace for lawn care and outdoor services and is expanding into a broader home-services platform across three brands.
What you will do
- Own the data governance roadmap across product, marketing, operations, and finance.
- Build automated monitoring for source data, pipelines, reports, freshness, anomalies, and schema changes.
- Develop data lineage, impact analysis, and data-contract practices across production systems, dbt, Segment, and Lightdash.
- Lead the migration from Tableau and Metabase to Lightdash, including workspace structure, permissions, certification, naming, and query performance.
- Extend the governed semantic layer and manage Segment event standards, ownership, property definitions, and drift detection.
- Govern AI access to warehouse data and implement data-security, privacy, retention, and documentation processes.
Requirements
- Hands-on experience with data warehouses and pipelines, including SQL and comparable platform technologies.
- Experience maintaining a BI platform and an event-tracking plan at company scale.
- Ability to write SQL, debug Airflow DAGs, configure permissions, and build automation personally.
- Experience managing priorities and other people's output while continuing to contribute technically.
- Product-minded approach to turning stakeholder needs into a prioritized data roadmap.
- Daily use of AI tools for quality checks, automation, anomaly triage, and documentation.
Nice to have
- Experience with Redshift, dbt, Airflow, Fivetran, Segment, Lightdash, Tableau, or Metabase.
- Experience with AI-powered analytics engineering, data observability, or data contracts.
Culture & Benefits
- Fully remote work with async collaboration as the norm.
- Flexible PTO focused on results.
- Hands-on ownership with the opportunity to hire and lead a Lead Analytics Engineer as the function grows.
- Opportunity to establish governance standards and systems from an early stage.
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