Data Engineering Manager

$175,700 - $292,700/Yr

Apple - Cupertino, CA

posted about 2 months ago

Full-time - Manager
Cupertino, CA
Computer and Electronic Product Manufacturing

About the position

The Data Engineering Manager at Apple plays a crucial role in leading the design, development, and implementation of data engineering solutions for the Apple Channel Sales team. This position involves overseeing a team that builds and optimizes scalable data pipelines, ensuring data accessibility and reliability for critical decision-making and business planning. The manager will collaborate with cross-functional teams to align data solutions with business needs, enhance data quality, governance, and security, and drive innovation in data processing and automation.

Responsibilities

  • Lead and manage a team of data engineers to design, build, and maintain data pipelines, ensuring data is available and accessible to all stakeholders.
  • Collaborate with Sales, data science, analytics, and product teams to understand data requirements and deliver on projects in a timely manner.
  • Architect scalable and efficient data solutions using modern technologies and best practices.
  • Drive innovation and automation in data processes to optimize data flow, reduce latency, and improve data quality.
  • Establish and maintain data infrastructure, ensuring scalability, reliability, and cost-efficiency.
  • Develop and enforce data governance policies, ensuring data integrity, security, and compliance with industry standards.
  • Mentor and grow the team, fostering a culture of learning, continuous improvement, and collaboration.
  • Stay current with emerging technologies and trends in data engineering, providing recommendations for adopting new tools and practices where relevant.
  • Ensure high availability of data systems through monitoring, alerting, and on-call rotations as necessary.
  • Keep up-to-date with the latest industry trends and technologies to ensure work remains cutting-edge.

Requirements

  • Proven experience in data engineering and managing data engineering teams.
  • Strong knowledge of data architecture, data modeling, and ETL processes.
  • Experience with modern data technologies and tools for building scalable data solutions.
  • Ability to collaborate effectively with cross-functional teams and stakeholders.
  • Strong leadership skills with a focus on mentoring and team development.
  • Knowledge of data governance, security, and compliance best practices.

Nice-to-haves

  • Experience with cloud-based data solutions and services.
  • Familiarity with machine learning and data science concepts.
  • Knowledge of programming languages such as Python, Java, or Scala.

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Reimbursement for certain educational expenses, including tuition
  • Discretionary bonuses or commission payments
  • Relocation assistance
  • Participation in employee stock programs
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