Lead Data Engineer

class='description'>

WHO

YOU’LL WORK WITH

You’ll join the

Foundational Platform Engineering team, a pivotal group driving

technology modernization across Nike Global Technology. This team

partners with multiple business and platform teams to build

scalable, secure, and innovative solutions that power Nike’s

digital transformation

journey.

WHO WE ARE

LOOKING FOR

We are looking for a

proven full-stack engineer with deep backend expertise and strong

frontend capabilities who thrives in designing, building, and

scaling modern platforms. The ideal candidate is proficient in

Java, microservices architecture, AWS cloud services, Node.js, and

modern front-end frameworks, and has a keen ability to integrate

emerging technologies that enable speed, scalability, and

intelligence.

You have a track record of

modernizing legacy systems, leading migrations to cloud-native

architectures, and building future-ready platforms. You bring a

strong architectural mindset, hands-on engineering experience, and

the ability to influence and mentor teams in a fast-paced,

ever-changing technology landscape.

Key Skills

& Qualifications : 8–12

years of software engineering experience, including leadership

roles

Bachelor’s degree or

equivalent combination of education, training, and

experience.

Experience in

DataBricks

Strong backend

expertise : Java,

microservices, and API-first design

(REST / GraphQL)

Cloud-native

architecture on AWS (Lambda, ECS / EKS, DynamoDB, S3,

CloudFormation / Terraform)

Event-driven

systems, streaming (Kafka, Kinesis), and serverless-first

principles

Databricks, SQL,

and PySpark for designing and orchestrating large-scale data

pipelines and advanced analytics

workloads

CI / CD pipelines,

Infrastructure as Code, containerization (Docker,

Kubernetes)

Solid frontend

experience : Node.js as a key

skill

Familiarity with

React, Angular, or

Vue

Ability to deliver

intuitive, scalable interfaces for internal and platform

tools

Exposure to AI / ML

integration, generative AI concepts, and data-driven system

design

Experience driving

build-vs-buy decisions and creating scalable custom

solutions

Proven ability to

mentor and influence engineering teams across multiple

functions.

WHAT

YOU’LL WORK ON

You will lead the

design, development, and modernization of core Nike platforms,

replacing legacy systems with high-performance, cloud-native, and

future-proof solutions. You’ll collaborate with engineering,

product, and platform teams to deliver scalable technology that

accelerates Nike’s global

strategy.

Architect, design,

and build critical modernization initiatives across the Nike

technology landscape

Replace

legacy systems with custom-built, cloud-native solutions that

enhance speed and

scalability

Contribute to

both backend and frontend development with a focus on modern,

flexible

architectures

Design,

develop, and maintain scalable data pipelines leveraging Databricks

notebooks, Spark SQL, and Python to enable efficient ETL, data

transformation, and enterprise analytics

solutions.

Partner with

cross-functional teams to align on build-vs-buy strategies and

modernization roadmaps

Drive

engineering best practices, security standards, and high-quality

code delivery

Mentor

engineers and build a culture of innovation, collaboration, and

continuous

improvement

Champion

future-ready technologies including AI / ML readiness,

serverless-first design, and real-time data

capabilities

Leadership

Traits : Strategic thinking

with a focus on modernization at enterprise

scale

Ability to influence

without direct authority across diverse

teams

Exceptional

communication skills for both technical and executive

stakeholders

Resilience and

adaptability in an ever-evolving, high-velocity

environment

Commitment to

continuous learning and enabling adoption of emerging

technologies