Data Architect - Commerce & Subscription Analytics
Apple
Data Architect - Commerce & Subscription Analytics
Job Description
Are you a Data Architect passionate about empowering Data Scientists? Do you excel at designing and building data solutions that unlock the full potential of data? At Apple, we turn innovative ideas into groundbreaking products and services at an incredible pace. Join us and play a critical role in shaping the future of data-driven decision-making! Our Data Science & Analytics team is dedicated to enhancing customer experiences, accelerating growth, and uncovering new business opportunities, all while upholding the highest standards of user privacy. We collaborate closely with product, design, engineering, marketing, and business teams to optimize our world-class e-commerce and media streaming services. As a Data Architect focused on Data Science enablement, you will be the bridge between data scientists, engineers, and product teams. Your primary responsibility will be to define, design and deliver data products that empower data scientists to perform cutting-edge analysis, build machine learning models, and drive impactful business outcomes. You'll also work closely with data engineers to ensure that data is properly modeled, accessible, and optimized for data science workflows. In this role, you will work closely with data scientists to understand their data needs, identify opportunities for improvement, and prioritize data product development efforts. You will be translating complex technical concepts into clear and concise data models and requirements for engineering teams to ensure that data products are built to the highest standards of quality, scalability, and reliability.
Locations
- Cupertino, California, United States 95014
Salary
Salary not disclosed
Skills Required
- designing data solutionsintermediate
- building data solutionsintermediate
- data modelingintermediate
- data product developmentintermediate
- translating complex technical conceptsintermediate
- machine learning model buildingintermediate
- cutting-edge analysisintermediate
- data science workflows optimizationintermediate
- understanding data needsintermediate
- identifying opportunities for improvementintermediate
- prioritizing effortsintermediate
- ensuring qualityintermediate
- ensuring scalabilityintermediate
- ensuring reliabilityintermediate
Required Qualifications
- 5+ years of experience as a Data Engineer, Data Architect, or similar role (experience, 5 years)
- 5+ years of hands-on data architecture design, including conceptual, logical, and physical data models (experience, 5 years)
- 3+ years leading enterprise data architecture initiatives and cross-functional technical programs (experience, 3 years)
- 3+ years of experience in Python, SQL, and modern data stack technologies (experience, 3 years)
- Proven experience defining data strategy and architecture roadmaps aligned with business objectives (experience)
- Excellent communication, collaboration, and presentation skills (experience)
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field (degree in computer science)
Preferred Qualifications
- Experience in data warehouses, data lakes, real-time processing, ML platforms (experience)
- Experience working with Commerce, Subscription or Pricing data systems (experience)
- Track record of implementing innovative data architecture solutions (experience)
- Experience with schema evolution and versioning strategies (experience)
- Experience with data product management and customer-facing data solutions (experience)
- Masters degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field. (degree in computer science)
Responsibilities
- In this role, you will work closely with data scientists to understand their data needs, identify opportunities for improvement, and prioritize data product development efforts. You will be translating complex technical concepts into clear and concise data models and requirements for engineering teams to ensure that data products are built to the highest standards of quality, scalability, and reliability.
- Independently design and model datasets that enable data science capabilities.
- Manage an evolving data schema ensuring that data structures can extend over time while also maintaining backward compatibility.
- Collaborate with Business Intelligence and Data Science teams to design aggregate tables used across multiple teams and workflows.
- Collaborate with data scientists to understand their data needs, identify opportunities for improvement, and prioritize data product development efforts.
- Develop detailed data product requirements and specifications, ensuring alignment with data science needs.
- Define and champion the data product vision, strategy, and roadmap for data science capabilities.
Tags & Categories
Data Architect - Commerce & Subscription Analytics
Apple
Data Architect - Commerce & Subscription Analytics
Job Description
Are you a Data Architect passionate about empowering Data Scientists? Do you excel at designing and building data solutions that unlock the full potential of data? At Apple, we turn innovative ideas into groundbreaking products and services at an incredible pace. Join us and play a critical role in shaping the future of data-driven decision-making! Our Data Science & Analytics team is dedicated to enhancing customer experiences, accelerating growth, and uncovering new business opportunities, all while upholding the highest standards of user privacy. We collaborate closely with product, design, engineering, marketing, and business teams to optimize our world-class e-commerce and media streaming services. As a Data Architect focused on Data Science enablement, you will be the bridge between data scientists, engineers, and product teams. Your primary responsibility will be to define, design and deliver data products that empower data scientists to perform cutting-edge analysis, build machine learning models, and drive impactful business outcomes. You'll also work closely with data engineers to ensure that data is properly modeled, accessible, and optimized for data science workflows. In this role, you will work closely with data scientists to understand their data needs, identify opportunities for improvement, and prioritize data product development efforts. You will be translating complex technical concepts into clear and concise data models and requirements for engineering teams to ensure that data products are built to the highest standards of quality, scalability, and reliability.
Locations
- Cupertino, California, United States 95014
Salary
Salary not disclosed
Skills Required
- designing data solutionsintermediate
- building data solutionsintermediate
- data modelingintermediate
- data product developmentintermediate
- translating complex technical conceptsintermediate
- machine learning model buildingintermediate
- cutting-edge analysisintermediate
- data science workflows optimizationintermediate
- understanding data needsintermediate
- identifying opportunities for improvementintermediate
- prioritizing effortsintermediate
- ensuring qualityintermediate
- ensuring scalabilityintermediate
- ensuring reliabilityintermediate
Required Qualifications
- 5+ years of experience as a Data Engineer, Data Architect, or similar role (experience, 5 years)
- 5+ years of hands-on data architecture design, including conceptual, logical, and physical data models (experience, 5 years)
- 3+ years leading enterprise data architecture initiatives and cross-functional technical programs (experience, 3 years)
- 3+ years of experience in Python, SQL, and modern data stack technologies (experience, 3 years)
- Proven experience defining data strategy and architecture roadmaps aligned with business objectives (experience)
- Excellent communication, collaboration, and presentation skills (experience)
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field (degree in computer science)
Preferred Qualifications
- Experience in data warehouses, data lakes, real-time processing, ML platforms (experience)
- Experience working with Commerce, Subscription or Pricing data systems (experience)
- Track record of implementing innovative data architecture solutions (experience)
- Experience with schema evolution and versioning strategies (experience)
- Experience with data product management and customer-facing data solutions (experience)
- Masters degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field. (degree in computer science)
Responsibilities
- In this role, you will work closely with data scientists to understand their data needs, identify opportunities for improvement, and prioritize data product development efforts. You will be translating complex technical concepts into clear and concise data models and requirements for engineering teams to ensure that data products are built to the highest standards of quality, scalability, and reliability.
- Independently design and model datasets that enable data science capabilities.
- Manage an evolving data schema ensuring that data structures can extend over time while also maintaining backward compatibility.
- Collaborate with Business Intelligence and Data Science teams to design aggregate tables used across multiple teams and workflows.
- Collaborate with data scientists to understand their data needs, identify opportunities for improvement, and prioritize data product development efforts.
- Develop detailed data product requirements and specifications, ensuring alignment with data science needs.
- Define and champion the data product vision, strategy, and roadmap for data science capabilities.
Tags & Categories