Big Data Engineering Lead Remote Advanced english Role
Summary 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 idóneo 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. Required Qualifications Experience 8+ years
of experience in data engineering, software engineering, or
enterprise data platform development. 3+ years of technical
leadership experience leading engineering teams or large-scale data
initiatives. Proven experience designing and delivering enterprise
data platforms, pipelines, and data products. Experience operating
within agile software development environments. Technical Skills
Advanced SQL and data modeling expertise. Strong Python and PySpark




development experience. Deep understanding of ETL and ELT
architecture patterns. Experience implementing Master Data
Management solutions. Experience building RESTful APIs and data
services. Familiarity with GraphQL and modern integration
approaches. Understanding of microservices-based architectures.
Experience implementing event-driven and real-time data processing
solutions. Strong understanding of data quality frameworks,
metadata management, and data lineage concepts. Leadership
Competencies Strong technical leadership and coaching capabilities.
Excellent problem-solving and decision-making skills. Ability to
balance delivery commitments with long-term platform
sustainability. Strong collaboration and stakeholder engagement
skills. Excellent written and verbal communication abilities.
Passion for engineering excellence and continuous improvement.
Success Measures The Data Engineering Lead will be measured on:
Successful delivery of Data Foundation engineering commitments.
Data pipeline reliability, performance, and scalability. Data
quality improvements across enterprise data assets. Adoption of
engineering standards and development practices. Reduction of
technical debt and engineering risk. Improvement in operational
stability and incident reduction. Engineering team engagement,
capability growth, and retention. Increased reuse of canonical data
models, data products, and engineering frameworks.

📌 Big Data Engineering Lead (Guadalajara)
🏢 Valce Talent Solutions
📍 Guadalajara