Analytics Engineering Manager, Data Platform – Governance

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Take charge of the data governance strategy across product, marketing, operations, and finance.

• Develop automated monitoring systems to ensure data quality and freshness across source data, pipelines, and reports.

• Identify upstream schema and source changes prior to downstream disruptions and manage incidents to resolution.

• Maintain data lineage and perform impact analyses from production sources through warehouse models to dashboards.

• Establish data contracts and incorporate downstream impact assessments into the engineering change review process.

• Oversee and organize the Lightdash workspace, which includes managing permissions, certifications, naming conventions, rollout, and enablement.

• Enhance and manage the semantic layer, ensuring one controlled definition per metric.

• Oversee the Segment event catalog, including naming standards, property dictionary, review lifecycle, and drift detection.

• Manage AI data access and ensure the warehouse remains documented, consistent, and secure for AI agents.

• Handle data security, PII management, retention, access controls, and conduct regular access reviews.

• Develop documentation, ownership models, and review processes for a sustainable governance framework.

• Begin as a hands-on individual contributor before progressing to hire and manage a Lead Analytics Engineer.

⛳️ Requirements

• In-depth hands-on experience with the warehouse/pipeline layer.

• Proven track record of maintaining a BI tool and tracking plan effectively at a company-wide scale.

• Familiarity with Redshift, dbt, Airflow, Fivetran, Segment, Lightdash, Tableau, and/or Metabase.

• Regular use of AI tools such as Claude Code, Copilot, and ChatGPT for quality assurance, automation, anomaly triage, and documentation.

• Experience in being accountable for the outputs of others, managing time, prioritizing tasks, and maintaining hands-on involvement.

• Proficiency in writing SQL, debugging Airflow DAGs, and configuring permissions.

• Product-oriented mindset to transform ambiguous stakeholder requests into prioritized action plans.

• Automation-focused approach to conducting recurring quality checks.

• Capability to enforce standards among engineers and analysts.

• Ability to work remotely with asynchronous collaboration.

• Proficiency in English is not a strict requirement.

🏝️ Benefits

• Base salary: $75k–$120k/year.

• Fully remote work environment.

• Flexible paid time off (PTO).