Analytics Engineering Manager, Data Platform – Governance

🔥 0 minutes ago

🇧🇷 Brazil – Remote

💵 $75k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

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 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

• 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

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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume