Analytics Engineering Manager, Data Platform & Governance

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Analytics Engineering Manager, Data Platform & Governance based in Brazil.

In this hands-on leadership role, you will establish and lead the data governance function for a growing, multi-brand home services marketplace. You will take ownership of the trustworthiness, quality, security, and accessibility of data across the entire platform, from source systems and pipelines to business intelligence and AI-powered applications. Working with a modern data stack built around Redshift, dbt, Airflow, Segment, and Lightdash, you will define the governance roadmap and turn business needs into clear technical priorities. You will strengthen data quality monitoring, lineage, metric consistency, and event tracking standards while supporting the organization's transition to a unified BI platform. Starting as an individual contributor, you will build scalable processes and automation before growing the team. This is an opportunity for a technically strong, AI-enabled manager who enjoys building systems, influencing stakeholders, and creating lasting improvements.

Accountabilities

• Own the data platform and governance roadmap, identifying business needs across product, marketing, operations, and finance and translating them into prioritized initiatives.
• Balance stakeholder requests with platform reliability, data quality, security, and long-term scalability, communicating priorities and trade-offs clearly.
• Establish automated monitoring for data quality and freshness across source systems, pipelines, warehouse models, and reports.
• Detect upstream schema and source-data changes before they affect downstream systems, and lead incidents through investigation and resolution.
• Build and maintain end-to-end data lineage connecting production sources, warehouse models, metrics, and BI dashboards.
• Develop impact assessment processes so engineering teams understand downstream data dependencies before releasing production changes.
• Work toward implementing data contracts and integrating breaking-change detection into engineering workflows.
• Lead the Lightdash migration, defining workspace structure, permissions, naming conventions, certification standards, and user enablement.
• Maintain a well-organized BI environment that supports stakeholder self-service while ensuring query performance and responsible warehouse costs.
• Expand and govern the semantic layer, ensuring consistent, do...

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