Senior Data Platform Engineer @Goods & Services
Data Analysis
Salary unspecified
Remote Location
Job Type full-time
Posted 2d ago

[Hiring] Senior Data Platform Engineer @Goods & Services

2d ago - Goods & Services is hiring a remote Senior Data Platform Engineer. 💸 Salary: unspecified 📍Location: Worldwide

Role Description

Goods & Services is looking for a Data Platform Engineer who is responsible for hands-on implementation, maintenance, and operational support of modern lakehouse platforms, with a focus on Microsoft Fabric / OneLake. In this role, you will participate in the full lifecycle from requirements to deployment and production support, translating business needs into reliable data products while ensuring data quality, monitoring, and performance. You will work closely with Solution Architects to follow platform standards across multiple engagements.

  • Ensure data quality and reliability by implementing data quality checks, monitoring anomalies, performing root cause analysis on pipeline failures, and proactively identifying and resolving data or process issues impacting reliability, cost, or stakeholder trust.
  • Implementation & Operations: Design, build, and maintain data ingestion and orchestration components (e.g., Fabric Data Pipelines, notebooks) for patterns such as file drops, APIs, and database extracts.
  • Reliability & Quality: Ensure data integrity by implementing quality checks, monitoring anomalies, and performing root cause analysis on pipeline failures.
  • Architecture & Modeling: Develop curated transformation layers (Silver/Gold) aligned to defined grains and keys to publish reliable data products.
  • Operational Excellence: Operate and monitor platform components (schedules, alerts, runbooks) and maintain accurate “as-built” technical documentation.
  • Stakeholder Collaboration: Work with analytics/BI teams to ensure datasets support reporting needs and assist with validation and adoption.

Qualifications

  • 5+ years’ years in Business Intelligence, Data Warehouse, or Lakehouse projects.
  • Proficiency in Python or Spark-based transformations and 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 (partitioning, schema evolution) and dimensional data modeling (grain/keys).
  • Proven ability to manage the full development lifecycle and troubleshoot performance problems across ingestion and consumption layers.
  • Ability to express complex technical concepts in business terms and work effectively in a team environment.

Requirements

  • Familiarity with reporting/semantic consumption patterns (Power BI familiarity is a plus).
  • Comfort working in a client-services environment (multiple engagements, shifting priorities, clear communication, strong documentation).
  • Knowledge of multi-unit retail/restaurant analytics is helpful but not required.

Benefits

  • Remote work: We’re a global design and technology company with presence in Mexico, US, and London.
  • Tools: We provide you a laptop and headset, ready to add value with us!
  • Full Time Job: Work from Monday through Friday.
  • Be Rich Program: We live our mission by adding value to the communities.
  • Professional Development: We offer regular in-house Centers of Excellence (CoE) and Learning Sessions for professional growth.
  • Internal Referral Program: Refer a friend and if hired, participate in a raffle to win amazing prizes!
  • Other benefits: As made available as offered by employer.
Before You Apply
worldwide Be aware of the location restriction for this remote position: Worldwide
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Data Platform Engineer @Goods & Services
Data Analysis
Salary unspecified
Remote Location
Job Type full-time
Posted 2d ago
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worldwide Be aware of the location restriction for this remote position: Worldwide
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply
Applied
Sent Follow-Up
Interview Scheduled
Interview Completed
Offer Accepted
Offer Declined
Unlock 152,720 Remote Jobs
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