Senior Data Platform Engineer

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in México
Remote
Senior level
AdTech • Agency • Marketing Tech
The Role
Build and operate modern lakehouse platforms using Microsoft Fabric and OneLake. Design ingestion pipelines, notebooks, transformations, curated data layers, quality checks, monitoring, alerts, and documentation. Troubleshoot pipeline and performance issues across ingestion and consumption layers, ensure reliable data products, and collaborate with architects, analytics, and BI teams to support reporting and adoption.
Summary Generated by Built In

About Goods & Services
  
Goods & Services is a product design and engineering company. 

We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services. Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. 

Headquartered in the United States, we operate regional development centers in Mexico and the United Kingdom. This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect.

About the job
  
Goods & Services is looking for a Senior 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.

What you’ll do:

  • 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.

What you’ll need:

  • 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.

Nice to have:

  • 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.


Skills Required

  • 5+ years of experience 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 or similar cloud data environments and orchestration tools
  • Deep understanding of Delta table concepts, including partitioning and schema evolution
  • Understanding of dimensional data modeling, including grain and keys
  • Ability to manage the full development lifecycle and troubleshoot performance issues across ingestion and consumption layers
  • Ability to communicate complex technical concepts in business terms and work effectively in a team
  • Familiarity with reporting and semantic consumption patterns, including Power BI
  • Comfort working in a client-services environment with multiple engagements and shifting priorities
  • Knowledge of multi-unit retail or restaurant analytics
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The Company
HQ: Atlanta, GA

What We Do

Goods & Services is a design and invention firm. We craft multifaceted brands that challenge conventions by holistically blending brand design, product design, communications, and digital technology.

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