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Apple

Data Engineering Manager, Finance Data & AI Foundation

Apple Sunnyvale, California, United States

Computers and Electronics Manufacturing · 10,001+ employees

5 h ago
engineering-manager Principal (10+ yrs) Full-time United States
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About the role

Lead a team of engineers to build, optimize, and modernize scalable financial data systems that support reporting, analytics, and AI initiatives. Design and deliver robust data solutions across modern cloud platforms and enterprise databases while applying software engineering best practices.

What they look for

Data Engineering Engineering Management Data Modeling Data Transformation Distributed Data Platforms Enterprise Databases Software Engineering Cloud Data Environments SAP HANA Feature Engineering Machine Learning Data Governance Data Quality Stakeholder Management Financial Systems

Requirements

Requires a bachelor's degree in Computer Science or a related field with 8-12 years of experience in data or software engineering. Candidates must have at least 5 years of engineering management experience and expertise in data modeling, distributed platforms, and financial data systems.

Full description

We are seeking a hands-on Engineering Manager to lead Finance Data and AI Engineering initiatives, building scalable, high-performance financial data systems that power reporting, analytics, and AI-driven transformation.

This role is execution-focused: leading a team of engineers to build, optimize, and modernize financial data systems that directly support Finance's business operations and innovation initiatives. The ideal candidate combines deep data engineering expertise, solid software engineering fundamentals, and strong collaboration with Finance stakeholders.

Description

You will be responsible for designing and delivering robust financial data solutions across modern data platforms — including cloud data environments and enterprise databases such as SAP HANA — while applying strong software engineering principles to ensure scalability, reliability, and performance.

Minimum 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

Preferred Qualifications

Experience driving the implementation of data governance and quality standards Strong stakeholder management skills in Finance or enterprise functions

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