Lead Data Engineer, ITC

WHO YOU’LL

WORK WITH

You will be a part of the

larger Global Technology organization working on Nike’s internal

product tools and report to the team’s Engineering Director.

You will work day-to-day with a team of engineers, the team’s

Technical Product Manager and Principal Engineers in the

organization on software projects to achieve Nike’s business

objectives.  You will also engage with other Global Technology

functions and teams on organizational and technical

goals.

WHO WE ARE

LOOKING FOR

We’re looking for a Lead

Data Engineer to solve complex software engineering problems

supporting Nike’s pursuit of delivering state of the art tools to

our Consumer Product and Innovation (CP&I) community. The

candidate needs to be highly collaborative with peers, productive

in a fast-paced development environment and have depth of native

cloud software engineering

experience.

WHAT

YOU’LL WORK ON

You will be part of and

leading a team of engineers building out tooling for our Consumer

Product & Innovation team members. We are investing in building

modular, configurable and “API-First” capabilities which will be

consumed by modern web applications build with the most recent SPA

frameworks. You are expected to help coordinate with other teams

and provide guidance and coaching for more junior team

members.

Experience leading

teams in a highly collaborative

environment

Bachelor’s

degree in computer science, Engineering, Information Systems, or

similar field, or relevant professional experience in lieu of a

degree

8+ years of hands-on

industry data engineering

experience

Proficiency in

SQL, Spark, Python

Hands-on

experience with Databricks, AWS,

Snowflake

Demonstrated

strength in data modeling, ETL development, and data

streaming.

Experience with

AWS products including Lambda, Step Functions, DynamoDB,

Elasticsearch,

S3

Demonstrated expertise in

Java, with understanding of JavaScript / TypeScript,

Node.js

Experience with

React, Vue.js, or Angular for data visualization

dashboards

Demonstrated

expertise in API development using REST / GraphQL APIs for data

services

Strong

understanding of microservices architecture and architectural

design patterns

Experience

with CI / CD and leading teams with DevOps responsibilities for

deploying and supporting software in production Experience with

implementing and integrating AI, Machine Learning and related data

solutions