Lead Data Engineer ON SITE in GDL
Summary
Lead Data Engineer role in Guadalajara building scalable data platforms and ETL/ELT pipelines using Python, Spark, SQL, and Databricks, combining hands-on engineering with technical leadership, mentoring, and architecture decisions.
Lead Data Engineer
Important IT company At the Latin American level, growth requires:
Experience: Senior / Lead-level Data Engineering
Focus: Big Data, Cloud Data Platforms, Databricks, ETL/ELT
We are seeking an experienced Lead Data Engineer to design and implement scalable data analytics solutions across on-premises and cloud data platforms. The ideal candidate will have strong hands‑on experience building production‑grade data pipelines and Big Data solutions, with expertise in Python, Spark, SQL, Hadoop, and Databricks . This role combines hands‑on engineering with technical leadership, including architecture discussions, code reviews, mentoring, and driving best practices across data engineering initiatives.
Key Responsibilities
- Design and build scalable, cloud-native data platforms and pipelines .
- Develop robust ETL/ELT pipelines integrating data from multiple systems and sources.
- Build production-grade data solutions using Python, Spark, SQL, and Databricks .
- Design modular, maintainable, and scalable data processing components.
- Participate in architecture and technical design decisions.
- Lead code reviews and ensure engineering best practices, testing, and maintainability.
- Mentor and guide data engineers, promoting technical growth and knowledge sharing.
- Support data quality, governance, lineage, cataloging, and access management.
- Troubleshoot complex data and pipeline issues in production environments.
- Participate in planning, estimation, feature sizing, and technical discussions with cross‑functional teams.
Mandatory Technical Skills
- Strong hands‑on experience building production‑grade data engineering solutions .
- Advanced proficiency in Python, PySpark/Spark, and SQL .
- Strong experience with Databricks ; experience with Snowflake is a plus.
- Hands‑on experience with the Hadoop ecosystem , including technologies such as Hive and Impala .
- Experience developing and managing data pipelines using Apache Airflow, Apache NiFi, or Talend .
- Experience with ETL/ELT, data integration, and distributed data processing .
- Strong understanding of Git, CI/CD, automated testing, and release pipelines .
- Experience troubleshooting and optimizing complex data pipelines and workloads.
Leadership & Architecture
Proven experience acting as a technical lead or senior technical contributor within data engineering teams. Experience mentoring engineers and conducting technical/code reviews. Ability to decompose complex data problems into scalable and maintainable solutions. Experience participating in architecture and platform design decisions . Strong communication skills with both technical and non‑technical stakeholders.
Preferred Skills
- Experience with Snowflake or additional cloud data platforms.
- Experience with Java‑based applications.
- Experience with data governance, data cataloging, lineage, and observability.
- Experience designing or modernizing on‑premises data platforms into cloud‑based architectures.
Language & Eligibility
ADVANCED CONVERSATIONAL ENGLISH AND SPANISH ESSENTIAL (Will be evaluated). If you are a foreingner residing in Mexico, you must have a valid INE, CURP, NSS and RFC.
Job type
ON SITE GDL
Location
Guadalajara Mexico.
Salary
$110,000 gross.
Benefits
- Excellent superior benefits.