Important IT company At the Latin American level, growth requires:

Lead Data Engineer

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 adecuado 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.

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.

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📌 Lead Data Engineer ON SITE in GDL (Centro)
🏢 Gsbsolutions1
📍 Centro