Analytics Engineering Manager, Data Platform – Governance

This is a fully remote position, open to applicants in Brazil, +2 more countries.

📋 Description

• Take ownership of the organization-wide data roadmap and prioritize investments in the platform.

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

• Oversee data lineage and impact analysis from production sources through warehouse models to dashboards.

• Manage Lightdash, including workspace structure, permissions, certification, naming conventions, rollout, enablement, query performance, and warehouse costs.

• Enhance and regulate the semantic layer, ensuring one official definition for each metric.

• Oversee Segment event tracking, which encompasses event standards, ownership, property dictionaries, review lifecycle, and drift detection.

• Regulate data access for AI tools and uphold an AI-compatible warehouse.

• Manage data security, PII handling, retention protocols, and periodic access reviews in compliance with US state privacy regulations.

• Create documentation, ownership models, and review cycles for sustainable governance.

• Lead incident resolution and link production change reviews with downstream impact assessments.

• Begin as a solo contributor and subsequently recruit and manage a Lead Analytics Engineer.

⛳️ Requirements

• Expertise in governance-focused data systems.

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

• Proven experience as a hands-on manager responsible for the output, priorities, and time management of others.

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

• Product-oriented ability to convert stakeholder needs into prioritized initiatives.

• Automation-first mindset for ongoing quality checks.

• Capability to establish and uphold standards across engineers and analysts.

• Practical experience in warehouse and pipeline layers.

• Credible track record in maintaining a BI tool and managing a tracking plan at a company scale.

• Familiarity with tools such as Redshift, dbt, Airflow, Fivetran, Segment, Lightdash, Tableau, Metabase, or similar technologies.

• Experience with data quality monitoring, freshness oversight, lineage management, semantic layer governance, data security and privacy, and AI data readiness.

🏝️ Benefits

• Base salary: $75k–$120k/year.

• Fully remote work environment.

• Flexible paid time off (PTO).