Senior Manager, Data Engineering

It's fun to work in a company where people truly BELIEVE in what they're doing!

Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com

Ingram Micro has earned Great Place to Work Certification™ for 2022-2023 in the United States! This prestigious recognition reflects our commitment to our people and our culture.

Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!

This position is based in our Irvine, California Corporate Headquarters on a hybrid schedule.

Dynamic and results-oriented Senior Manager, Data Engineering with a proven track record of overseeing end-to-end platform operations. Adept at designing and optimizing scalable, high-performance systems to support business objectives. Seeking a challenging role to leverage expertise in platform management, infrastructure optimization, and team leadership.

Responsible in steering investments made in our data infrastructure to enable new or enhance existing capabilities.  Strong collaboration with Cross IT teams, engineering, analytics, Data Warehouse, and product to achieve our shared goals and the desire to drive our emerging data products forward to delight our internal and external consumers. 

Professional Experience

• Lead the design, implementation, and optimization of the organization's platform infrastructure.
• Oversee platform operations, ensuring high availability, reliability, and performance.
• Collaborate with cross-functional teams to define platform requirements and ensure alignment with business goals.
• Manage a team of platform engineers, providing leadership, mentorship, and fostering a culture of continuous improvement.
• Implement best practices for platform security, compliance, and disaster recovery.

Key Responsibilities:

Strategic Leadership:

• Develop and execute a strategic vision for the data warehousing platform aligned with organizational goals and business objectives.
• Stay abreast of industry trends and emerging technologies to ensure the data warehousing platform remains innovative and competitive.

Team Management:

• Lead and manage a team of data engineers, architects, and administrators.
• Foster a collaborative and innovative team culture, providing mentorship and professional development opportunities.

Data Warehousing Infrastructure:

• Oversee the design, implementation, and optimization of data warehousing infrastructure to support business intelligence and analytics needs.
• Ensure scalability, reliability, and performance of the data warehousing platform.

Data Modeling and Architecture:

• Collaborate with Data Architects to design and implement effective data models within the data warehousing environment.
• Ensure that data warehouse architecture aligns with best practices and supports efficient data retrieval.

Platform Optimization:

• Implement and monitor data warehousing best practices for performance optimization and query efficiency.
• Collaborate with IT and business teams to identify opportunities for platform enhancements and optimizations.

Data Governance:

• Establish and enforce data governance practices within the data warehousing platform.
• Ensure data quality, integrity, and compliance with regulatory requirements.

Collaboration and Stakeholder Management:

• Work closely with business stakeholders to understand data requirements and ensure the data warehousing platform meets their analytical needs.
• Collaborate with cross-functional teams, including Business Intelligence, Analytics, and IT, to ensure seamless integration of data processes.

Vendor Management:

• Evaluate, select, and manage relationships with vendors providing tools and technologies related to data warehousing.
• Negotiate contracts and ensure vendor solutions align with organizational requirements.

Documentation and Reporting:

• Maintain comprehensive documentation of data warehousing processes, configurations, and best practices.
• Provi