Lead Data Engineer, ITC

Nike; Karnataka; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Nike is seeking a Lead Data Engineer to drive data platforms within the Global Technology organization in India. You will lead a team of engineers building modular, API-first data tooling to support Consumer Product & Innovation initiatives.

You will collaborate across squads, mentor juniors, and own data modeling, ETL, and streaming solutions using SQL, Spark, Python, and cloud services like AWS, Databricks, and Snowflake. This role emphasizes production readiness and scalable architecture.

Qualifications

• 8+ years of hands-on industry data engineering experience.
• Bachelor's degree in computer science, engineering, information systems, or equivalent.
• Strong proficiency in SQL, Spark, and Python.
• Experience with Databricks, AWS, and Snowflake.
• Experience with REST/GraphQL APIs and data visualization dashboards using React/Vue/Angular.
• Leadership experience in a collaborative team environment.

Responsibilities

• Lead a team of engineers in building modular, API-first data tooling.
• Drive data modeling, ETL development and streaming solutions.
• Coordinate with cross-functional teams to achieve goals and ship production-ready features.
• Mentor junior engineers and contribute to architectural guidance.

Skills

Leadership

SQL

Spark

Python

Java

JavaScript/TypeScript

Node.js

React/Vue/Angular

REST/GraphQL

CI/CD

DevOps

AI/ML

Data modeling

ETL

Data streaming

AWS

Databricks

Snowflake

Lambda

Step Functions

DynamoDB

Elasticsearch

S3

Education

Bachelor's degree in CS/Engineering/Information Systems or equivalent

Tools

Databricks

AWS

Snowflake

Lambda

Step Functions

DynamoDB

Elasticsearch

S3

React

Vue.js

Angular

REST/GraphQL

Job description

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 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 & 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