Analytics Engineering Manager, Data Platform – Governance

LawnStarter

. Own the data governance roadmap across product, marketing, operations, and finance .

Posted 10/30/2026full-timeRemote • BrazilMid-LevelSenior💰 $75,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data governance, including managing data quality, lineage, and security across various domains. Proficient in utilizing BI tools and automation for effective data management and stakeholder collaboration.

Highest-signal resume keywords

Data Governance Roadmap OwnershipSQL ProficiencyExperience with Redshift, dbt, Airflow, Fivetran, Segment, Lightdash, TableauAutomated Monitoring for Data QualityManagement of Data Security and PII Handling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData Quality MonitoringData Lineage AnalysisDebugging Airflow DAGsData Security ManagementAutomation of Quality ChecksData Contract EstablishmentImpact Assessment IntegrationDocumentation CreationBI Tool Management

Soft Skills

Stakeholder ManagementPrioritizationAccountabilityAsynchronous CollaborationTeam Leadership

Tools & Technologies

RedshiftDbtAirflowFivetranSegmentLightdashTableauMetabaseClaude CodeChatGPT

Industry Keywords

Data GovernanceData QualityData LineageBI ToolsData SecurityPII HandlingAutomationData ContractsImpact AnalysisSemantic Layer Governance

Tech Stack

Tools & technologies

AirflowAmazon RedshiftSQLTableau

About the role

Key responsibilities & impact

Own the data governance roadmap across product, marketing, operations, and finance
Build automated monitoring for data quality and freshness across source data, pipelines, and reports
Detect upstream schema and source changes before downstream breakage and run incidents to resolution
Maintain data lineage and impact analysis from production sources through warehouse models to dashboards
Establish data contracts and integrate downstream impact assessment into engineering change review
Administer and structure the Lightdash workspace, including permissions, certification, naming, rollout, and enablement
Extend and govern the semantic layer with one controlled definition per metric
Govern the Segment event catalog, naming standards, property dictionary, review lifecycle, and drift detection
Govern AI data access and keep the warehouse documented, consistent, and safe for AI agents
Manage data security, PII handling, retention, access controls, and periodic access reviews
Create documentation, ownership models, and review loops for a sustainable governance system
Start as a hands-on individual contributor, then hire and manage a Lead Analytics Engineer

Requirements

What you’ll need

Hands-on depth in the warehouse/pipeline layer
Credible experience keeping a BI tool and tracking plan healthy at company scale
Experience with Redshift, dbt, Airflow, Fivetran, Segment, Lightdash, Tableau, and/or Metabase
Daily use of AI tools such as Claude Code, Copilot, and ChatGPT for quality checks, automation, anomaly triage, and documentation
Experience being accountable for other people's output, allocating time, owning priorities, and continuing to build hands-on
Ability to write SQL, debug Airflow DAGs, and configure permissions
Product-minded ability to turn vague stakeholder asks into prioritized plans
Automation-first approach to recurring quality checks
Ability to enforce standards across engineers and analysts
Ability to work remotely with asynchronous collaboration
English-language proficiency is not explicitly required

Benefits

Comp & perks

Base salary: $75k–$120k/year
Fully remote
Flexible PTO