Big Data Lead/MDM/PYSPARK

Turtle Trax S.A.; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Turtle Trax S.A. seeks a Big Data Lead to drive the Data Foundation platform. This hands-on leader will oversee enterprise data pipelines, data products, and canonical models, ensuring scalable, trusted data services for analytics, AI, and reporting.

Collaboration with architecture and platform teams is essential for delivering high-quality data solutions. The role emphasizes remote work with advanced English proficiency and a focus on operations in México, guiding a high-performing data

Qualifications

• Hands-on technical leader with deep expertise in data engineering.
• Experience with modern data architectures and distributed processing.
• Focus on engineering excellence and scalable data solutions.

Responsibilities

• Lead the design, delivery, and quality of enterprise data pipelines and data products.
• Maintain canonical data models and data services for analytics and reporting.
• Partner with Architecture, Platform Engineering, and Service Owners to align with enterprise standards.

Skills

Data engineering

Leadership

PySpark

Big data

Job description

Big Data Lead/MDM/PYSPARK

The Data Engineering Lead is responsible for the technical leadership, engineering delivery, and quality of the Data Foundation platform. This role leads the team responsible for building and maintaining enterprise data pipelines, data products, canonical data models, and data services that enable analytics, AI, integration, and operational reporting. The Data Engineering Lead partners closely with the Service Owner, Architecture Team, and Platform Engineering Lead to deliver scalable, trusted, and maintainable data solutions aligned with enterprise standards and strategic objectives. The ideal candidate is a hands-on technical leader with deep expertise in data engineering, modern data architectures, distributed processing, and engineering excellence. They are accountable for engineering execution, solution quality, operational reliability, and the development of a high-performing data engineering team.

Remote
Advanced english

Only México