Analytics Engineering Manager, Data Platform & Governance
New
J
JobgetherHome services marketplace
Based in BrazilFull-TimeManager
Salary75,000 - 120,000 USD per year
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Job Details
- Required Skills
- SQLApache AirflowTableaudbt
Requirements
- Experience in analytics engineering, data engineering, or data platform management, with responsibility for data quality, governance, and technical delivery.
- Previous experience managing or leading others, including prioritizing work and maintaining accountability for team outcomes.
- Hands-on expertise with Amazon Redshift, dbt, and Airflow.
- Experience maintaining production data pipelines, troubleshooting failures, and implementing automated monitoring and validation.
- Experience governing a BI platform and maintaining event-tracking standards at company scale.
- Experience with BI tools such as Lightdash, Tableau, or Metabase, including workspace administration, permissions, metric definitions, and dashboard governance.
- Understanding of data lineage, impact analysis, semantic layers, metric governance, and data contracts.
- Experience designing automated freshness monitoring, anomaly detection, schema-change identification, and data quality validation.
- Practical knowledge of data security, access management, PII handling, and privacy requirements.
- Regular use of AI-powered development tools such as Claude Code, GitHub Copilot, or ChatGPT.
- Strong SQL skills and ability to investigate and resolve technical issues across pipelines, permissions, and data models.
- Nice to have: Experience with Fivetran, custom Airflow ingestion pipelines, data observability, or AI-powered analytics engineering agents.
Responsibilities
- Own the data platform and governance roadmap, translating business needs into prioritized initiatives.
- Establish automated data quality and freshness monitoring across source systems, pipelines, warehouse models, and reports.
- Build end-to-end data lineage and impact assessment processes for production changes.
- Lead the Lightdash migration, including workspace structure, permissions, naming conventions, certification, and user enablement.
- Govern the semantic layer and business-critical metric definitions.
- Own Segment event tracking governance, including the event catalog, naming standards, property dictionary, and tracking-drift detection.
- Govern data access for AI tools and agents and oversee security, PII handling, retention, and access reviews.
- Write SQL, debug Airflow pipelines, configure permissions, and develop automation and quality checks.
- Help recruit and lead a Lead Analytics Engineer as the function expands.
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