Lead Data Engineer

Tyson Mexico; Torreón; Presencial; MXN 70,000 - 90,000; Jornada completa

Descripción de la vacante

A leading food processing company in Torreón, Mexico, is seeking a Lead IT Data Engineer. This role involves driving data strategies, architecting solutions for cloud cost optimization, and mentoring junior engineers. The ideal candidate should have over 5 years of experience and a strong background in data architecture and security measures. Competitive compensation is offered for this critical position.

Formación

• 5+ years of relevant and practical experience.
• Any relevant IT Certification preferred.

Responsabilidades

• Drive overall data strategy and implement data architectures.
• Architect end-to-end cloud cost optimization solutions.
• Lead the integration of big data technologies.
• Mentor junior engineers in SQL and visualization techniques.
• Manage relationships with third-party vendors.

Conocimientos

Data streaming

Real-time data processing

Data architecture design

Big data technologies

Data security measures

Stakeholder Management

Project Management

Educación

Bachelor's Degree or relevant experience

Descripción del empleo

Overview

The Lead IT Data Engineer leads and executes cloud cost optimization strategies, demonstrating expert data architecture and security knowledge. They are heavily involved in data strategy, driving the adoption of best practices in data management and governance within the organization. Their expertise also encompasses a comprehensive command of ETL tools and SQL, enabling them to handle the most challenging data scenarios and contribute significantly to the organization's data analytics capabilities.

Essential Duties and Responsibilities

• Help drive the overall data strategy, including designing and implementing comprehensive data architectures and visualization solutions
• Architect end-to-end data solutions strongly emphasizing cloud cost optimization and enterprise-scale visualization
• Drive data strategy, align data visualization initiatives with organizational goals, and contribute to strategic decision-making
• Ensure enterprise-level data governance and security, including advanced row-level and column-level protections
• Lead the integration of big data technologies, data streaming solutions, and advanced visualization tools in large-scale environments
• Oversee complex data pipeline orchestration and drive the adoption of cutting-edge ETL tools and visualization principles
• Mentor junior engineers in SQL, scripting, and advanced data visualization techniques, ensuring the creation of intuitive and visually appealing dashboards
• Manage relationships with 3rd party vendors, ensuring the selection of the best tools for the organization’s needs
• Lead the resolution of complex escalations, ensuring that any issues are swiftly and effectively addressed
• Maintain a strong data privacy and security focus, ensuring all visualization solutions adhere to best practices
• Communicate and collaborate with key internal and external stakeholders to deliver impactful data solutions that meet business needs
• Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice

Qualifications

• Education: Bachelor's Degree or relevant experience
• Preferred Certification(s): Any relevant IT Certification
• Experience: 5+ years of relevant and practical experience

Special Skills

• Advanced skills in data streaming and real-time data processing
• Expertise in designing complex data architectures and scalable system
• Deep knowledge of big data technologies and extensive experience with data security measures
• Ability to lead data architecture reviews and approval

Soft Skills

• Project Management: Leading complex data initiatives from conception to completion
• Leadership: Driving data strategy and best practices across the organization
• Stakeholder Management: Building and maintaining relationships with internal and external partners
• Strategic Vision: Aligning data initiatives with long-term business objectives
• Communication: Presenting complex data concepts to executive leaders
• Mentorship: Fostering the growth and development of the data engineering team
• Decision-Making: Making informed choices about data architecture and strategy
• Change Management: Guiding the organization through data-related transformations