Senior Data Platform Engineer

Goods & Services; México; A distancia; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Goods & Services is seeking a Senior Data Platform Engineer to lead hands‑on implementation, maintenance, and support of modern lakehouse platforms with a focus on Microsoft Fabric / OneLake. You will translate business needs into reliable data products and ensure data quality, monitoring, and performance across engagements.

You will work with Solution Architects to follow platform standards, participate in end‑to‑end lifecycle, and support analytics/BI teams for reporting needs across multiple

Formación

• 5+ years in BI, data warehousing, or lakehouse projects.
• Proficient in Python or Spark-based transformations and SQL.
• Experience with Microsoft Fabric or similar cloud data environments.
• Understanding of Delta tables and dimensional modeling (grain/keys).
• Able to manage full development lifecycle and troubleshoot performance.

Responsabilidades

• Design and build data ingestion and orchestration components for lakehouse platforms.
• Implement data quality checks, monitoring, and root-cause analysis for pipelines.
• Develop Silver/Gold transformation layers for reliable data products.
• Operate platform components, schedules, alerts, and maintain docs.
• Collaborate with analytics/BI teams to support reporting needs and adoption.
• Translate business requirements into reliable data products.

Conocimientos

Python

Spark

SQL

Herramientas

Microsoft Fabric

Power BI

Descripción del empleo

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.