Data Engineer

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

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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

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• 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.

Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.