Manager, Software Engineering, ITC

WHO YOU’LL

WORK WITH

At Nike,

we leverage the power of data and technology to serve athletes

around the world. The Data & AI (DAI) team is at the forefront

of this mission—building scalable, secure, and intelligent

platforms that power decision-making and personalized experiences

across the Nike

ecosystem.

WHO WE

ARE LOOKING FOR

We

are looking for a dynamic engineering manager with a passion for

building and leading high-performing software engineering teams.

You thrive in a fast-paced, collaborative environment and have a

proven track record of delivering scalable and reliable data

platforms and

services.

Skillset

Required

10+

years of experience in software development, with a

strong foundation in distributed systems, cloud-native

architectures, and data

platforms.

3+

years of experience leading engineering teams, with

demonstrated success in hiring, mentoring, and growing

talent.

Expertise in at

least one major cloud platform : AWS, Azure, GCP, or

OCI.

Hands-on

experience with Databricks, Snowflake, AWS RDS, Azure SQL,

or GCP Cloud SQL, Apache Spark, and Apache

Airflow.

Strong

understanding of data pipeline frameworks, metadata management, and

data governance

controls.

Strong

understanding of architectural design patterns

and core computer science

principles.

Proven ability

to deliver high-impact, scalable

services .

Excellent

communication and stakeholder management

skills.

WHAT

YOU’LL WORK

ON

Lead a team of

software engineers responsible for building and maintaining

scalable data platforms and

services.

Drive the

development of SDKs, APIs, and microservices

that support enterprise-wide data and analytics

needs.

Collaborate with

product managers, architects, and other engineering leaders to

define and execute the technical

roadmap.

Foster a culture of

continuous improvement, innovation, and engineering

excellence .

Ensure

the team follows best practices in software development,

data governance, and platform

observability.

Foster

a culture of continuous improvement, innovation, and engineering

excellence.

Align

engineering initiatives with broader organizational goals such as

modernization, cloud cost optimization, and data

governance.