Senior Data Platform Engineer

About the position

Apple is where individual imaginations gather together, committing to the values

that lead to great work. Every new product we build, service we create, or Apple

Store experience we deliver is the result of us making each other’s ideas

stronger. That happens because every one of us shares a belief that we can make

something wonderful and share it with the world, changing lives for the better.

It’s the diversity of our people and their thinking that inspires the innovation

that runs through everything we do. When we bring everybody in, we can do the

best work of our lives. Here, you’ll do more than join something — you’ll add

something! The Apple Maps Data Infrastructure team needs exceptional engineers

to help build capabilities across a spectrum of technologies in a hybrid-cloud

environment. As a key contributor, you will be at the forefront of shaping the

technological landscape, focusing on data infrastructure, batch processing,

real-time processing, and data Lakehouse technologies. This role offers a great

opportunity to power a variety of business units through technological

innovation at Apple. The team is committed to support the Apple Maps business by

building technological capabilities that not only enable the business operations

but also optimize infrastructure efficiency. We are facing challenges every day

to deal with data at an extensive scale. That is why we are looking for strong

engineers who love solving challenging problems through conducting independent

research and collaborating with teams across Apple. As a senior member of our

team, you will be at the forefront of tackling challenging problems and

addressing a wide array of use cases. Your role involves delivering innovative

solutions, providing insightful perspectives on emerging technologies, and

making platform-level impacts. This is an opportunity to work on innovative

projects that demand creativity, strategic thinking, and a commitment to

excellence. If you're ready to embrace diverse challenges, contribute to

groundbreaking solutions, and be a driving force behind technological

advancements, we invite you to join us on this exciting journey!

DESCRIPTION

We are looking for an exceptionally curious and motivated candidate who is

excited by the opportunity to rapidly build the reputation of subject matter of

expert in data processing platform across the org. You will collaborate with a

wide range of internal teams, listening intently to understand their problems

and true underlying needs. Using your problem-solving abilities, you will draw

insights that enable you to scope, architect, and deliver innovative

high-quality solutions. This role offers substantial scope for

capability-building across multiple domains and technologies, learning deeply

from our expert teams of developers, data engineers, and data scientists. The

candidate is expected to have strong fundamentals in data domains that will

facilitate self-directed learning driven by intellectual curiosity. We provide a

collaborative environment that empowers you to expand your expertise rapidly.

You will engage broadly across the organization, using excellent communication

skills to translate needs into solutions. If accelerating your learning excites

you and you aspire to become a leading authority in multiple technology spheres,

this is the opportunity for you.

Requirements

• 6+ years of hands-on experience in the realm of large-scale data processing

infrastructure, showcasing a robust understanding of the complexities associated

with such environments.

• Familiarity with a diverse set of technologies, including but not limited to Spark, Flink, Trino, Kafka, Iceberg, in the big

data ecosystem.

• Strong hand-on programming skills, particularly in Java or other

JVM languages, showcasing the ability to develop robust, scalable, and

maintainable codebases for intricate data infrastructure.

• A strong sense of ownership and an unwavering commitment to excellence in all aspects of work.
• A customer-focused approach, combined with excellent listening skills and a deep

understanding of user requirements.

• Be adept at translating user needs into

actionable solutions and acting as a subject matter expert in customer

discussions.

• Exhibit proficiency in scoping and prioritizing tasks with a focus

on incremental delivery and an iterative approach, ensuring adaptability to

evolving project requirements.

Nice-to-haves

• Experience with public cloud systems, particularly in AWS or GCP environments, is a great plus.
• Knowledge of Kubernetes is a significant plus.
• Proactive engagement with open-source community, aligning business objectives with the principles of collaborative development and innovation. (Nice to have)
• Experience with GPU / training / LLM / Inferencing