Senior Manager, Data Engineering & Platforms

Kraft Heinz

Ciudad de México

On-site

MXN 900,000 - 1,300,000

Full time

14 days+

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Job summary

Kraft Heinz in Mexico City is seeking a Senior Manager of Data Engineering to lead a multidisciplinary agile team that builds high-quality data pipelines and analytic solutions. You will champion data architecture, data engineering, data analysis, and reporting while aligning with the business processes supported by the data platforms.

The role requires deep cloud experience, strong communication, and the ability to drive data-driven decision-making across the enterprise; you will collaborate

Qualifications

  • Bachelor’s Degree or higher in Computer Science, Statistics, Information Technology, or related field (Master’s degree preferred).
  • Minimum 2 years of experience delivering and supporting software and data engineering capabilities.
  • Strong design and software programming development (Python, Javascript and/or R).
  • Strong experience with cloud services within Azure, AWS, or GCP platforms (preferably Azure).
  • Experience building full stack data applications (experience with GraphQL is a plus).
  • Experience with analytical tools (preferably SQL, dbt, Snowflake, BigQuery, Tableau).
  • Hands‑on experience with DevOps and CI/CD processes.
  • Project management experience and strong communication skills.
  • Self‑Starter, driven with high business process competence.
  • Standout Colleague with a positive demeanor and ability to work across different business partner and technical teams to accomplish sophisticated tasks.

Responsibilities

  • Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
  • Contribute to building generic frameworks for data ingestion, data processing, and data integrations
  • Implements standard methodologies for software design, architecture, and implementation
  • Implements monitoring tools/processes to ensure platform stability and operational SLAs
  • Extends DevOps capabilities for deploying data solutions
  • Acts as a data owner and functional data SME for the assigned area

Skills

Strong leadership
Communication skills
Problem solving
Agile methodologies
Self-starter
Team collaboration

Education

Bachelor’s Degree or higher in Computer Science, Statistics, Information Technology, or related field

Tools

Azure
AWS
GCP
Python
JavaScript
R
GraphQL
SQL
dbt
Snowflake
BigQuery
Tableau
Terraform
Terraform templates

Job description

Kraft Heinz in Mexico City is seeking a Senior Manager of Data Engineering to lead a multidisciplinary agile team that builds high-quality data pipelines and analytic solutions. You will champion data architecture, data engineering, data analysis, and reporting while aligning with the business processes supported by the data platforms.

The role requires deep cloud experience, strong communication, and the ability to drive data-driven decision-making across the enterprise; you will collaborate

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