Analytics Engineering Manager, Data Platform – Governance

🔥 11 hours ago

🌐 Mexico, Colombia, +2 more countries – Remote

🇲🇽 Mexico – Remote 🇨🇴 Colombia – Remote 🇵🇪 Peru – Remote 🇺🇾 Uruguay – Remote

💵 $75k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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LawnStarter

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

👥 B2C

🏪 Marketplace

🏠 Real Estate

💰 $10.5M Venture Round on 2019-11

B2C • Marketplace • Real Estate

LawnStarter is a service platform that provides affordable lawn care services at the click of a button. With fast online ordering, quality service, and a user-friendly app, LawnStarter allows customers to easily schedule and manage lawn maintenance services. These include lawn mowing, fertilization, bush trimming, and weeding. The company partners with local professionals to ensure reliable and insured services while supporting small businesses. LawnStarter offers its services across numerous locations in the United States, aiding customers in keeping their lawns beautiful and well-maintained.

📋 Description

• 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

• 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

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

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