Data Engineering Manager, Finance Data & AI Foundation

Apple Inc.; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Apple Inc. seeks an hands-on Data Engineering Manager to lead Finance Data & AI Foundation in Austin. You will design scalable financial data architectures on cloud platforms, ensuring performance and reliability while guiding a team of data and software engineers.

You’ll partner with Finance stakeholders to drive data-driven decisions and AI-enabled transformation. The role emphasizes execution, collaboration, and engineering discipline, with a focus on modernizing financial data systems that

Qualifications

• Bachelor’s degree in CS, IS, or equivalent.
• 8–12 years in data or software engineering.
• 5+ years in engineering management.
• Experience with data modeling, distributed data platforms, and best practices.

Responsibilities

• Lead design and development of scalable financial data architectures on cloud platforms.
• Apply SDLC practices to enforce modular architecture and resiliency.
• Prepare structured datasets for AI and support model training/deployment.
• Optimize data models and queries for large-scale financial datasets (SAP HANA, Singlestore, Iceberg).
• Collaborate with Finance users to deliver scalable solutions and mentor engineers.

Skills

Data modeling

Distributed data platforms

Software engineering best practices

Data transformation

Feature engineering

AI/ML readiness

Leadership/mentorship

Education

Bachelor's degree in Computer Science or equivalent

Tools

SAP HANA

Singlestore

Apache Iceberg

Job description

Data Engineering Manager, Finance Data & AI Foundation

Austin, Texas, United States Software and Services

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.

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.

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant

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Apple accepts applications to this posting on an ongoing basis.