Analytics Engineering Manager, Data Platform – Governance

LawnStarter

. Own the company-wide data roadmap for product, marketing, operations, and finance .

Posted 9/29/2026full-timeRemote • Mexico, Colombia, Peru, UruguayMid-LevelSenior💰 $75,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance, automation, and stakeholder management, with a strong focus on maintaining data integrity and security across platforms. Proficient in SQL and various BI tools to ensure effective data monitoring and reporting.

Highest-signal resume keywords

Data Governance ExperienceHands-On SQLAutomation-First ApproachExperience with BI ToolsManagement of Data Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData GovernanceData LineageImpact AnalysisAutomationSchema Changes DetectionData SecurityPermissions ConfigurationAnomaly TriageStakeholder Management

Soft Skills

PrioritizationCommunicationLeadershipCollaborationProblem-Solving

Tools & Technologies

LightdashRedshiftDbtAirflowFivetranSegmentTableauMetabaseClaude CodeChatGPT

Industry Keywords

Data RoadmapData ContractsEvent TrackingData PrivacyPII Handling

Tech Stack

Tools & technologies

AirflowAmazon RedshiftSQLTableau

About the role

Key responsibilities & impact

Own the company-wide data roadmap for product, marketing, operations, and finance
Prioritize platform health and stakeholder needs, present and defend the roadmap, and re-plan as the business changes
Build automated monitoring for 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 source through warehouse models to dashboards
Establish data contracts and integrate impact assessment into engineering change review
Administer Lightdash, including workspace structure, permissions, certification, naming, rollout, enablement, query performance, and warehouse costs
Extend and govern the semantic layer with one controlled definition per metric
Govern Segment event tracking, including event review, catalog maintenance, naming, property dictionary, lifecycle, and drift detection
Govern AI data access and keep the warehouse documented, consistent, safe, and AI-legible
Manage data security and privacy, including access controls, PII handling, retention, and periodic access reviews
Build documentation, ownership models, and review loops that make governance sustainable
Start as an individual contributor and later hire and manage a Lead Analytics Engineer

Requirements

What you’ll need

Governance-focused data systems experience
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 other people's output, priorities, and time allocation
Hands-on SQL, Airflow DAG debugging, and permissions configuration
Product-minded ability to turn stakeholder needs into prioritized plans
Automation-first approach to recurring checks
Ability to enforce standards across engineers and analysts
Hands-on depth in warehouse and pipeline layers
Credible experience keeping a BI tool and tracking plan healthy at company scale
Experience with Redshift, dbt, Airflow, Fivetran, Segment, Lightdash, Tableau, Metabase, or comparable tools

Benefits

Comp & perks

Base salary: $75k–$120k/year
Fully remote work
Flexible PTO
Equal employment opportunities and compliance with applicable state and local nondiscrimination laws