Analytics Engineering Manager, Data Platform – Governance

LawnStarter

. Own the data roadmap by discovering needs across product, marketing, operations, and finance, prioritizing platform investments, and sequencing work .

Posted 10/30/2026full-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, ensuring data quality, security, and compliance with privacy laws while managing data lineage and impact analysis. Proficient in SQL and familiar with tools like Redshift, dbt, and Airflow to support data operations and analytics.

Highest-signal resume keywords

Data GovernanceSQL ProficiencyExperience with RedshiftAutomation of Quality ChecksManagement of BI Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData LineageData Quality MonitoringSchema Change DetectionImpact AnalysisAutomationDebugging Airflow DAGsData Security ManagementData Privacy ComplianceEvent Tracking Governance

Soft Skills

Product-Minded ApproachLeadershipPrioritizationCollaborationCommunication

Tools & Technologies

LightdashRedshiftDbtAirflowFivetranSegmentTableauMetabaseClaude CodeChatGPT

Industry Keywords

Data RoadmapData ContractsPII HandlingUS State Privacy LawsBI Tool ManagementData FreshnessData PipelineData WarehouseEvent StandardsProperty Dictionaries

Tech Stack

Tools & technologies

AirflowAmazon RedshiftSQLTableau

About the role

Key responsibilities & impact

Own the data roadmap by discovering needs across product, marketing, operations, and finance, prioritizing platform investments, and sequencing work
Build automated monitoring for data quality and freshness across source data, pipelines, and reports
Detect upstream schema and source changes and run incidents to resolution
Own 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 Lightdash, including workspace structure, permissions, certification, rollout, enablement, query performance, and warehouse cost management
Extend and govern the semantic layer with one controlled definition per metric
Govern Segment event tracking, including event standards, catalog ownership, property dictionaries, review lifecycle, and drift detection
Govern AI data access and keep the warehouse documented, consistent, and safe for AI agents
Manage data security and privacy, including access controls, PII handling, retention under US state privacy laws, and periodic access reviews
Build documentation, ownership models, and review loops for sustainable governance
Start as an individual contributor and later hire and lead a Lead Analytics Engineer

Requirements

What you’ll need

Governance is your craft, not your chore; genuine interest in trustworthy and tidy data systems
Daily use of AI tools such as Claude Code, Copilot, and ChatGPT for quality checks, automation, anomaly triage, and documentation
Experience managing 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 approach to translating business needs into prioritized plans
Automation-first approach to recurring quality checks
Ability to enforce standards across engineers and analysts
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, Metabase, or comparable tooling

Benefits

Comp & perks

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