Lead Data Engineer | Remote

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 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.

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: Remote

Location: Mexico.

Salary: $110,000 gross.

Benefits: Excellent superior benefits.