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Data Engineering Manager, Finance Data & AI Foundation

Apple· Software and Services
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Hybrid (Sunnyvale, California)Full-timePosted 1w ago

About the role

Hands-on Engineering Manager leading Finance Data and AI Engineering to build scalable, high-performance financial data systems for reporting, analytics, and AI-driven transformation. Focus on designing robust financial data solutions across cloud platforms and enterprise databases (e.g., SAP HANA), applying software engineering best practices, mentoring a team, and collaborating with Finance stakeholders.

Responsibilities

  • Lead the design and development of scalable financial data architectures and solutions, ensuring performance, scalability, and reliability using modern cloud platforms and enterprise databases.
  • Achieve software engineering excellence by applying SDLC practices, enforcing modular architecture, driving engineering discipline, and enhancing system resiliency.
  • Prepare structured financial datasets for AI, collaborate on model training and deployment, enable real-time data capabilities, and ensure data consistency and explainability in AI finance use cases.
  • Optimize query performance and data models for large-scale financial datasets using enterprise data platforms like SAP HANA, Singlestore, and Apache Iceberg, while supporting native database capabilities and aligning usage with enterprise standards.
  • Collaborate with Finance users to develop scalable technical solutions, ensure initiative execution with clear milestones, and mentor a team of data/software engineers.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent
  • 8–12 years of experience in data engineering or software engineering
  • 5+ years of engineering management experience
  • Strong experience in: Data modeling and transformation, Distributed data platforms or enterprise databases, Software engineering best practices
  • Experience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives
  • Experience driving the implementation of data governance and quality standards
  • Strong stakeholder management skills in Finance or enterprise functions

Skills

Required:Data modelingDistributed data platformsSoftware engineering best practicesData governance and quality standardsStakeholder management

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 and relocation may be eligible
  • Apple shareholder opportunities through discretionary employee stock programs
  • employee stock purchase plan
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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