Analytics Engineering Manager, Data Platform – Governance

LawnStarter

. Own the company-wide data roadmap and prioritize platform investments .

Posted 9/19/2026full-timeRemote • Brazil, Mexico, ColombiaMid-LevelSenior💰 $75,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance, quality monitoring, and management of data systems, with a strong focus on automation and stakeholder collaboration. Proficient in SQL, data lineage, and maintaining BI tools while ensuring compliance with data security and privacy regulations.

Highest-signal resume keywords

Data Governance ExpertiseSQL ProficiencyExperience with RedshiftHands-On Management ExperienceAutomation-First Approach

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData Quality MonitoringData LineageEvent Tracking GovernanceData SecurityAI Data ReadinessDebugging Airflow DAGsConfiguring PermissionsMaintaining BI ToolsAutomation

Soft Skills

Stakeholder CollaborationPrioritizationLeadership

Tools & Technologies

LightdashRedshiftDbtAirflowFivetranSegmentTableauMetabaseClaude CodeChatGPT

Industry Keywords

Data GovernanceData PrivacyUS State Privacy LawsSemantic LayerData Freshness Monitoring

Tech Stack

Tools & technologies

AirflowAmazon RedshiftSQLTableau

About the role

Key responsibilities & impact

Own the company-wide data roadmap and prioritize platform investments
Build automated data quality and freshness monitoring across source data, pipelines, and reports
Manage data lineage and impact analysis from production sources through warehouse models to dashboards
Administer Lightdash, including workspace structure, permissions, certification, naming, rollout, enablement, query performance, and warehouse costs
Extend and govern the semantic layer with one official definition per metric
Govern Segment event tracking, including event standards, ownership, property dictionaries, review lifecycle, and drift detection
Govern data access for AI tools and maintain an AI-legible warehouse
Manage data security, PII handling, retention, and periodic access reviews under US state privacy laws
Establish documentation, ownership models, and review loops for sustainable governance
Lead incidents to resolution and connect production change review with downstream impact assessment
Start as a solo contributor and later hire and manage a Lead Analytics Engineer

Requirements

What you’ll need

Governance-focused data systems expertise
Daily use of AI tools such as Claude Code, Copilot, and ChatGPT for quality checks, automation, anomaly triage, and documentation
Experience as a hands-on manager accountable for others' output, priorities, and time allocation
Ability to write SQL, debug Airflow DAGs, and configure permissions
Product-minded ability to translate stakeholder needs into prioritized plans
Automation-first approach to recurring quality checks
Ability to establish and enforce standards across engineers and analysts
Hands-on depth in warehouse and pipeline layers
Credible experience maintaining a BI tool and tracking plan at company scale
Experience with Redshift, dbt, Airflow, Fivetran, Segment, Lightdash, Tableau, Metabase, or comparable tools
Experience with data quality, freshness monitoring, lineage, semantic layers, event tracking governance, data security/privacy, and AI data readiness

Benefits

Comp & perks

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