Senior Manager, Data Engineering

$144,400 - $245,500/Yr

Ingram Micro - Irvine, CA

Full-time - Senior

Irvine, CA

1,001-5,000 employees

Professional, Scientific, and Technical Services

About the position

Ingram Micro is a leading technology company for the global information technology ecosystem, with a mission to connect technology manufacturers and cloud providers to business-to-business technology experts. The Senior Manager, Data Engineering position is a dynamic and results-oriented role that requires a proven track record in overseeing end-to-end platform operations. The successful candidate will be responsible for designing and optimizing scalable, high-performance systems that support business objectives. This role involves steering investments in data infrastructure to enable new capabilities or enhance existing ones, while collaborating closely with cross-functional teams including IT, engineering, analytics, and product management to drive emerging data products forward. The Senior Manager will lead the design, implementation, and optimization of the organization's platform infrastructure, ensuring high availability, reliability, and performance. This position requires a strategic vision for the data warehousing platform that aligns with organizational goals and business objectives. The candidate will stay abreast of industry trends and emerging technologies to keep the data warehousing platform innovative and competitive. Additionally, the role involves managing a team of data engineers, architects, and administrators, fostering a collaborative and innovative team culture, and providing mentorship and professional development opportunities. Key responsibilities include overseeing the design and implementation of data warehousing infrastructure, ensuring scalability and performance, collaborating with Data Architects to design effective data models, and establishing data governance practices to ensure data quality and compliance. The Senior Manager will also be responsible for vendor management, maintaining comprehensive documentation of data warehousing processes, and providing regular reports to executive leadership on the performance and strategic direction of the data warehousing platform.

Responsibilities

• 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.
• 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.
• 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.
• Collaborate with Data Architects to design and implement effective data models within the data warehousing environment.
• Implement and monitor data warehousing best practices for performance optimization and query efficiency.
• Establish and enforce data governance practices within the data warehousing platform.
• Work closely with business stakeholders to understand data requirements and ensure the data warehousing platform meets their analytical needs.
• Evaluate, select, and manage relationships with vendors providing tools and technologies related to data warehousing.
• Maintain comprehensive documentation of data warehousing processes, configurations, and best practices.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field is required.
• Minimum 10 years data engineering experience and minimum 5 years managing global teams.
• Proven experience in a leadership role overseeing large scale data architectures and warehousing platforms in a cloud environment, preferred Google Cloud.
• Knowledge of Google Big Query and their Data Warehousing stack (Cloud Storage, Function, Composer, and others).
• Strong understanding of data architecture, warehousing, and engineering platforms best practices.
• Experience presenting and comfortability in front of executive leadership teams.
• Experience building data driven solutions, marketing technology solutions, advertising and consumer solutions.
• Must be proficient at SQL, MYSQL to be able to navigate data environments for investigation and analysis purposes.
• Experience with technologies such as SQL, Python, ETL processes, and data integration tools.
• Excellent leadership, communication, and stakeholder management skills.
• Certification in data management or related field is desirable.
• Ability to work off hours for global needs.

Nice-to-haves

• Experience with cloud-based data solutions and architectures.
• Familiarity with data governance frameworks and best practices.
• Experience in vendor management and contract negotiations.

Benefits

• 401(k) matching
• Disability insurance
• Health insurance
• Life insurance
• Paid time off
• Parental leave