Lead Data Engineer (Guadalajara, Mx)

We are seeking an experienced Lead Data Engineer to design, build, and optimize scalable data pipelines, infrastructure, and architectures. This role will lead a team of data engineers, providing technical guidance and ensuring best practices in data management, governance, and performance. The ideal candidate has a strong background in big data technologies, cloud platforms, and modern data engineering practices, with the ability to collaborate cross-functionally to deliver high-quality data solutions.

Location: Providencia, Guadalajara, Mexico

️ Language: Bilingual (English & Spanish)

Work Authorization: Must be legally authorized to work and currently residing in Mexico.

Key Responsibilities

• Lead the design, development, and maintenance of data pipelines and ETL processes.
• Oversee data modeling, integration, and transformation to ensure availability and reliability of data across systems.
• Manage and mentor a team of data engineers, fostering growth and technical excellence.
• Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver data solutions.
• Ensure data governance, quality, security, and compliance with industry standards.
• Evaluate and implement new tools, frameworks, and best practices in data engineering.
• Monitor and optimize system performance, scalability, and cost efficiency.
• Drive adoption of cloud-based data platforms (AWS, Azure, GCP) and modern data stack technologies.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• 7+ years of experience in data engineering, with at least 2+ years in a leadership role.

• Strong expertise in SQL, data modeling, and distributed data processing.

• Hands-on experience with big data technologies (Spark, Hadoop, Kafka, etc.).

• Proficiency in Python, Scala, or Java for data engineering tasks.

• Experience with cloud platforms (AWS Redshift, GCP BigQuery, Azure Synapse, or similar).

• Knowledge of workflow orchestration tools (Airflow, Prefect, Dagster) and data pipeline automation.

• Familiarity with containerization and CI/CD (Docker, Kubernetes, Git).

• Advanced English level (both written and spoken).

• Excellent communication and leadership skills with proven ability to lead teams.

Preferred Skills:

• Experience with data lakehouse architectures (Databricks, Snowflake).

• Understanding of machine learning pipelines and MLOps practices.

• Prior experience in highly regulated industries (finance, healthcare, etc.) is a plus.

At Meztal, we prioritize innovation, collaboration, and personal growth. You’ll have the opportunity to work on meaningful projects, be part of a supportive team, and enjoy a culture that values work-life balance and professional development.

• Christmas Bonus: 30 days, to be paid in December.

• Major Medical Expense Insurance: Coverage up to $20,000,000.00 MXN.
• Minor Medical Insurance: VRIM membership with special discounts on doctor’s appointments and accident reimbursements.
• Dental Insurance: Always smile with confidence!
• Life Insurance: (Death and MXN Disability)
• Vacation Days: 12 vacation days in accordance with Federal Labor Law, with prior approval from your manager. + Floating Holidays: 3 floating holidays in addition to the 7 official holidays in Mexico.
• Cell Phone Reimbursement & Transportation Subsidy.
• Hybrid Scheme: Enjoy the best of both worlds, remote and in-office work.
• Multicultural Exposure: Work with operations within Mexico and the United States.
• MezTal Internal Events: Strike a healthy balance between your professional and personal goals.
• Exclusive Discounts: Benefits with different companies for being part of MezTal.
• Academic Agreements: Access to national universities and language schools.