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Senior Data Engineer - International Marketing Technology
Lululemon athletica
- Seattle, Washington, United States
- Seattle, Washington, United States
Über
Time Type: Full-time
Description & Requirements who we are 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 product, emphasis on stores, 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.
About this team The lululemon Global Marketing Technology Team oversees the technical aspects of lululemon's international marketing technology stack. We aim to provide world class shopping experiences for our guests by enabling data to effectively personalize communication to guests. We are looking for a passionate, high-energy individual who is excited about delivering data-driven capabilities to meet lululemon’s growing marketing, insights, analytics, and intelligence capabilities leveraging the best-in-class industry proven solutions. This individual must have a track record of working in a collaborative environment, managing multiple stakeholders in a fast-paced environment and should take pride in evolving the entire organization to create the future data technology platform for growth.
Core responsibilities As a Senior Data Engineer, you will lead the design and implementation of complex data systems and pipelines spanning multiple data sources and destinations, establishing technical direction for the data domain including data quality standards, pipeline patterns, and governance practices while ensuring solutions meet scalability and reliability requirements. You will make implementation decisions for data domain including data modeling approaches, transformation logic, and optimization strategies, conduct high-impact code reviews focusing on data quality and system performance, and establish data engineering standards adopted across the domain. You will mentor data engineers at multiple levels providing guidance on advanced data concepts and career development, partner with analytics and business stakeholders on data strategy and roadmap planning, and lead resolution of critical data quality issues and pipeline failures.
Select responsibilities include:
Lead implementation of complex data systems and pipelines spanning multiple data sources and destinations within established data architecture frameworks
Write exemplary data transformation code demonstrating data engineering best practices in critical systems as technical reference for teams
Establish and enforce data quality standards, pipeline patterns, and data engineering best practices across multiple teams in data domain
Conduct high-impact code reviews focusing on data quality, performance, and long-term maintainability of data systems
Lead incident response for major data pipeline failures including coordination and post-mortem facilitation
Qualifications
Bachelor’s degree in Computer Science, Data Science, Engineering, or related technical field, or equivalent experience; Master’s degree beneficial
6-10 years of experience building enterprise data solutions and leading data infrastructure initiatives across engineering teams, or equivalent
Proven experience designing data system architectures for a domain balancing data requirements and constraints; track record of driving data pipeline design decisions across multiple teams
Deep knowledge of relational databases, NoSQL databases, cloud data warehouses, and selecting appropriate storage solutions for use cases; experience designing complex data architectures across multiple storage systems
Demonstrated ability to establish data quality standards, quality and governance frameworks, and monitoring practices across a domain
Experience with Azure Cloud, Azure Databricks, Snowflake for data pipeline creation.
Experience in data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity Catalog
Must haves
Acknowledges the presence of choice in every moment and takes personal responsibility for their life.
Possesses an entrepreneurial spirit and continuously innovates to achieve great results.
Communicates with honesty and kindness and creates the space for others to do the same.
Leads with courage, knowing the possibility of greatness is bigger than the fear of failure.
Fosters connection by putting people first and building trusting relationships.
Integrates fun and joy as a way of being and working, aka doesn’t take themselves too seriously.
compensation and benefits package lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $147,300 - $193,300 USD annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.
At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:
Extended health and dental benefits, and mental health plans
Paid time off
Savings and retirement plan matching
Parenthood top-up
Extensive catalog of development course offerings
People networks, mentorship programs, and leadership series
workplace arrangement Hybrid
In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.
Lululemon is an Equal Employment Opportunity employer. Employment decisions are based on merit and business needs, and not on race, color, creed, age, sex, gender, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state or provincial and local laws and ordinances. Reasonable accommodation is available for qualified individuals with disabilities, upon request. This Equal Employment Opportunity policy applies to all practices relating to recruitment and hiring, compensation, benefits, discipline, transfer, termination and all other terms and conditions of employment. While management is primarily responsible for seeing that Lululemon equal employment opportunity policies are implemented, you share in the responsibility for assuring that, by your personal actions, the policies are effective.
Lululemon is committed to providing reasonable accommodation to applicants with disabilities. If you would like someone from our team to contact you for individualized support, email us at accommodations@lululemon.com in your email, please include the position title, the location of the position and the nature of your request.
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Sprachkenntnisse
- English
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