Senior Data Platform Engineer

🔥 13 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.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.

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Goods & Services

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

📣 Marketing

📦 Logistics

🏭 Manufacturing

Marketing • Logistics • Manufacturing

Goods & Services is a product design and digital engineering company that helps enterprises design, build, and scale AI-powered products, platforms, and customer experiences. They provide services across Data & Artificial Intelligence, Experience Strategy & Design, and Technology & Engineering (cloud, software, hardware), focusing on modernizing data infrastructure, building digital product ecosystems and global web systems, and delivering enterprise-grade cloud and platform engineering for market-leading B2B clients.

📋 Description

• Implement, maintain, and provide operational support for modern lakehouse platforms, focusing on Microsoft Fabric / OneLake • Participate in the full lifecycle from requirements through deployment and production support • Translate business needs into reliable data products • Ensure data quality and reliability through quality checks, anomaly monitoring, root cause analysis, and proactive issue resolution • Design, build, and maintain data ingestion and orchestration components such as Fabric Data Pipelines and notebooks • Develop curated Silver/Gold transformation layers aligned to defined grains and keys • Operate and monitor platform components, including schedules, alerts, and runbooks • Maintain accurate as-built technical documentation • Collaborate with Solution Architects to follow platform standards across engagements • Work with analytics/BI teams to support reporting needs, validation, and adoption

🎯 Requirements

• 5+ years in Business Intelligence, Data Warehouse, or Lakehouse projects • Proficiency in Python or Spark-based transformations • Strong SQL skills for complex query analysis • Experience with Microsoft Fabric (preferred) or similar cloud data environments and orchestration tools • Deep understanding of Delta table concepts, including partitioning and schema evolution • Knowledge of dimensional data modeling, including grain and keys • Ability to manage the full development lifecycle • Ability to troubleshoot performance problems across ingestion and consumption layers • Ability to express complex technical concepts in business terms • Ability to work effectively in a team environment • Familiarity with reporting/semantic consumption patterns and Power BI is a plus • Comfort working in a client-services environment with multiple engagements, shifting priorities, clear communication, and strong documentation • Knowledge of multi-unit retail/restaurant analytics is helpful but not required