Cloud Data Solutions Architect

2 weeks ago

Austin, Texas, United States Apple Full time
Cloud Data Engineer

At Apple, we're revolutionizing industries with innovative technology and environmental efforts. We're seeking an experienced Cloud Data Engineer to join our worldwide business development and strategy team. This role will play a crucial part in defining and delivering cloud-based analytical and big data solutions that impact our business.

Key Responsibilities:
  • Design, implement, and test data solutions to provide efficient analytical and reporting capabilities across Apple's global and regional sales and finance teams.
  • Drive innovation within a technical team by leading technology decisions for the future of our analytical and reporting needs.
  • Collaborate closely with cross-functional teams to optimize data infrastructure for performance, scalability, and cost-efficiency.
  • Conduct thorough analysis and forecasting of compute and storage costs, and implement strategies for cost optimization and resource utilization.
  • Develop highly scalable data pipelines and fine-tune existing pipelines as needed.
  • Collaborate with data scientists, engineers, and other partners to support data modeling, analysis, and reporting needs.
  • Ensure compliance with data governance and security policies, including data encryption and access controls.
Requirements:
  • Expertise in designing and implementing scalable and secure data storage solutions in the cloud.
  • Hands-on experience using cloud services and tools to automate data workflows and streamline the data engineering process.
  • Proficiency in database design and development with relational, non-relational, and OLAP databases.
  • Solid understanding of cloud cost management principles and experience in forecasting and optimizing compute and storage costs.
  • 5+ years of proven experience designing and implementing large-scale data solutions in public cloud(s) and big-data platforms like Spark, Dremio, Hadoop, Hive, etc.
  • 3+ years of proven experience operating big-data platforms or data-planes.
  • 3+ years demonstrated ability designing and developing custom ETL pipelines using SQL, and/or scripting languages (Python, Shell, etc.).
  • Familiarity with version control systems, CI/CD practices, testing, and migration tools for database and software.
  • Experience with implementing cloud security best practices for data platforms, including handling sensitive datasets.
  • AWS Data Engineer Associate certification (preferred).
Preferred Qualifications:
  • Bachelors or Masters degree in Engineering/Computer Science.

Apple is an equal opportunity employer committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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