Job Description

About Lowe's

Lowe's is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.


Lowe's India, the Global Capability Center of Lowe's Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe's India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India

About the Team

The

highly motivated team

builds scalable data platforms, scorecards, and AI/ML-driven insights to empower Distribution Centers (DCs) with data-informed decision-making. The team delivers end-to-end solutions to forecast labor and transportation needs, optimize inventory flow, and improve operational efficiency across the supply chain network. By integrating real-time data, advanced analytics, and machine learning, the team enables proactive planning and performance visibility to meet evolving business demands.

Job Summary:

Use the sample functions below to help you fill in the Job Summary box. Use these functions as starting points or create your own.

Sample Manager functions to elaborate on

: executing direction from leadership, delivering results that align with strategic objectives, communicating critical information to other teams, managing vendor relationships, developing processes that align to organizational goals, specific technical skills required for managing a process.


The main purpose of this role is to deliver end-to-end data solutions for complex business problems. This role includes translating business needs to technical requirements, designing the architecture, and facilitating the implementation and maintenance of those solutions. This role serves as a technical expert to develop the right solution, including the evaluation of best fit platform/technology stack, and ensure correct implementation, following best practices and accounting for both functional and non-functional requirements, like reliability, scalability, performance, stability, security, and long-term maintainability.

Roles & Responsibilities:

Core Responsibilities:

Lead the end-to-end development of enterprise-grade data solutions leveraging

Google Cloud Platform (GCP)

services such as

BigQuery

,

Dataproc

, and

Apache Airflow

Resolve complex, cross-functional architecture issues; identify bottlenecks and drive system-wide optimization Partner with enterprise architects to ensure platform solutions are flexible, scalable, and aligned with strategic roadmaps Act as a technical mentor across software development lifecycle phases; promote best practices, design patterns, and clean architecture

Data Engineering & Platform Development

Design, develop, and maintain robust

data ingestion pipelines

,

data lakes

, and

curated layers

that support various HR functional domains Integrate diverse data sources (DBMS, file systems, APIs, and streaming systems) with a focus on scalability, data integrity, and observability Build semantic models and enable self-serve analytics by implementing

LookML

-based models,

semantic layers

, and

Looker

dashboards Collaborate with analytics and BI teams to deploy scalable, reusable dashboards in

Looker Studio Pro

, driving real-time insights and decision-making

Advanced Analytics & AI Enablement

Collaborate with Data Scientists and ML Engineers to support the deployment of models, ensuring high performance and observability Facilitate model lifecycle management using

Vertex AI

, integrating it with curated data pipelines for seamless training and inference Contribute to the development and integration of

Agentic AI frameworks

to support LLM-driven workflows, autonomous agents, and intelligent orchestration Influence adoption of

AI/ML best practices

, including MLOps, model governance, and real-time feedback loops

Years of Experience:

5+ years in software / IT development

Education Qualification & Certifications (optional)

Required Minimum Qualifications

:


List the education, certification, and work experience for an incumbent in the job. Enter the Minimum Qualifications and Preferred Qualifications as directed, and delete the areas not used.


List the education, certification, work experience and skills required to minimally qualify an individual for the job.

Bachelor's Degree in Computer Science, CIS, or related field (or equivalent work experience in a related field) Master's degree in computer science, CIS, or related field

Skill Set Required

Primary Skills (must have)

Cloud & Data Platform:

GCP, BigQuery, Dataproc, Cloud Storage, Pub/Sub, Composer (Airflow), Dataflow

BI & Visualization:

Looker

,

Looker Studio Pro

,

LookML

, semantic data modeling

Orchestration & Pipelines:

Apache Airflow, Terraform, CI/CD pipelines, Git

Programming & Tools:

Python, SQL, REST APIs, JSON, YAML, Linux

AI/ML Integration:

Vertex AI, agentic AI systems, model hosting via REST, MLOps practices

Data Integration:

ETL/ELT, ingestion from DBMS, APIs, files, and streaming data

Security & Compliance:

IAM, encryption, governance frameworks

Secondary Skills (desired)

Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.