Senior Engineer I T500-21259

About lululemon:

lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative products, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. As we continue to elevate our shopping experience, our India Tech Hub plays a key role in expanding our technology capabilities in Product Systems, Merchandising and Planning, Digital Presence, distribution and logistics, and corporate systems. Our team in India works as an extension of the global team on projects of strategic importance.

Senior Engineer I – Data Engineering

About this team

lululemon Engineering is dedicated to building secure, reliable, and performant products for our guests and partners. We embrace the philosophies of Agile, DevOps, and SRE to accelerate our development process and provide the most enjoyable, inclusive, and supportive work environment possible. We believe our journey is more fun when it is collaborative, as we focus on the future instead of the past. As an Engineer, you will work as part of a global team supported by our business and architecture partners to help us collaboratively develop and deliver industry leading technology solutions that drive lululemon's business goals.

Core Responsibilities:

As a Senior Engineer I, you will bring a high level of technical knowledge as well as strong mentoring abilities. You will be counted on as a leader in your technology space as you contribute to all areas of development and operations (pre-production to production). You will work closely with a Technology Manager, using your experience and knowledge to guide a team of Engineers though their day-to-day process, and provide a central escalation point for production concerns. You will be part of an Agile production release team and may perform on-call support functions as needed. As a Senior Engineer I, you would be a primary caretaker of production systems and would maintain a deep understanding of how delivered products are functioning.

• Are a main contributor in Agile ceremonies
• Provide mentorship and facilitate engineering training for a team of Engineers
• Perform and delegate engineering assignments to ensure production readiness is maintained
• Conduct research to aid in product troubleshooting and optimization efforts
• Conduct research to guide product development and tools selection
• Provide an escalation point and participate in on-call support rotations
• Actively monitor key metrics and report on trends
• Participate in our Engineering Community of Practice
• Contribute to engineering automation, management or development of production level systems
• Contribute to project engineering design and standards verification
• Perform reliability monitoring and support as needed to ensure products meet guest expectations

Qualifications:

• Completed Bachelor's degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible
• 8 – 9 years of engineering experience
• Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space
• Knowledge of CI/CD principles and best-practices.
• Experience developing solutions for retail or eCommerce businesses and other relevant domains such as manufacturing & logistics, supply chain, or corporate shared services
• Ability to assume the leadership/mentorship of Engineers
• Design, develop, and optimize scalable cloud data warehouses in Snowflake, ensuring efficient data modeling, performance tuning, and secure data sharing.
• Orchestrate and automate complex ETL/ELT workflows using Azure Data Factory (ADF) to integrate and transform data from diverse sources.
• (Nice to have) Build and manage real?time data streaming pipelines with Kafka to enable low latency data processing and analytics.
• (Nice to have) Write, optimize, and maintain complex SQL queries, stored procedures, and views for robust data extraction and transformation.
• (Nice to have) Develop and maintain lightweight Python scripts for automation, data manipulation, and integration with analytics workflows.
• (Nice to have) Leverage Snowpark to run advanced data processing and machine learning workloads directly within Snowflake
• Lead effort to develop technical standards to support and operate technologies within the current or future Microsoft Azure system platform
• Create Technical Specifications, Design Documents, and Data Mapping - keeping in mind the best practices and principles of integration design and architecture
• Recognize and adopt best practices in developing analytical insights including data integrity, analysis, test design, validation, and documentation
• Proactively promote data quality and security through recommended approaches and practices