Data Engineering Manager, Finance Data & AI Foundation

Apple Inc

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $206,200–$356,400 / yr
Posted: 1 day ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k

This role $281k

$114k $382k

below market most similar roles pay here above market

This role pays more than 95% of similar roles. Most pay $139,914–$223,750 — the blue band above. At the midpoint, this role pays about $281k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3452 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2651 roles with salary data.

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At a glance

TL;DR · Data Engineering Manager, Finance Data & AI Foundation

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The Data Engineering Manager, Finance Data & AI Foundation leads a team of data and software engineers to build, optimize, and modernize high-performance financial data systems. This role focuses on designing scalable architectures and delivering robust solutions across cloud data environments and enterprise databases to support business operations and innovation. Key responsibilities include applying software engineering principles like SDLC practices and modular architecture to ensure system resiliency. The manager will prepare structured datasets for AI, collaborate on model training, and optimize query performance for large-scale datasets. Required technical skills include data modeling, transformation, and experience with distributed data platforms, SAP HANA, Singlestore, and Apache Iceberg. The role solves the technical challenge of ensuring data consistency, explainability, and real-time capabilities for complex AI finance use cases.

Skills

Data Engineering SAP HANA Singlestore Apache Iceberg Data Modeling Feature Engineering Machine Learning AI SDLC Distributed Data Platforms Data Governance

What you'll do

Design and develop scalable financial data architectures using modern cloud platforms and enterprise databases.
Apply SDLC practices and modular architecture to ensure system reliability and engineering excellence.
Prepare structured financial datasets for AI model training, deployment, and real-time data capabilities.
Optimize query performance and data models for large-scale datasets using SAP HANA, Singlestore, and Apache Iceberg.
Ensure data consistency and explainability for AI-driven finance use cases.
Mentor a team of data and software engineers to execute technical initiatives and milestones.
Develop strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives.

What we're looking for

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, transformation, distributed data platforms, and 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 (preferred).
Strong stakeholder management skills in Finance or enterprise functions (preferred).

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