Data Engineering Manager: Cloud Data Pipelines & Leadership

PwC; México; On-site; MXN 900,000 - 1,500,000; Full time

Job summary

PwC Acceleration Center Mexico is seeking a Data Engineering Manager to lead data engineering workstreams, design data pipelines, and guide teams in cloud-based solutions. You’ll work across advisory, assurance, tax and business services, translating business needs into scalable data infrastructure and insights.

Strong leadership and English proficiency are essential. You will motivate teams, manage timelines, and apply tools like Azure Data Factory, Databricks, Snowflake, and Airflow to deliver

Qualifications

• At least a Bachelor’s degree.
• At least 8 years of experience.
• Oral and written proficiency in English required.

Responsibilities

• Leading data engineering workstreams for client managed services environments and aligning deliverables to project timelines and scope.
• Designing and maintaining data pipelines, integration flows, and transformation processes across cloud and analytics platforms.
• Managing teams through planning, prioritization, review of work, and coaching to build technical capability and accountability.
• Overseeing data architecture, modeling, and platform support activities that improve usability, availability, and performance.
• Applying Azure Data Factory, Databricks, Snowflake, Apache Airflow, and related tools to build and operate data solutions.
• Troubleshooting data quality, performance, and database issues through root cause analysis and targeted remediation.
• Coordinating with client stakeholders to translate business needs into scalable data solutions and service improvements.
• Monitoring operational metrics, identifying process improvements, and driving automation across data engineering activities.

Skills

Data pipelines

Cloud platforms

Databricks

Snowflake

Azure

Mentoring

Education

Bachelor's degree

Tools

Azure Data Factory

Databricks

Snowflake

Apache Airflow

Job description

PwC Acceleration Center Mexico is seeking a Data Engineering Manager to lead data engineering workstreams, design data pipelines, and guide teams in cloud-based solutions. You’ll work across advisory, assurance, tax and business services, translating business needs into scalable data infrastructure and insights.

Strong leadership and English proficiency are essential. You will motivate teams, manage timelines, and apply tools like Azure Data Factory, Databricks, Snowflake, and Airflow to deliver