Data Engineer II – Global Marketing Technology

Data Engineer II – Global Marketing Technology

Location: Seattle, WA

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. That includes creating an equitable, inclusive and growth-focused

environment for our people.

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.

The lululemon Global Marketing Technology Team oversees the technical aspects of lululemon's global

marketing technology stack. We aim to provide world class shopping experiences for our guests by

enabling data to effectively personalize interactions with our 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.

Here are the details:

A day in the life:

As an Engineer II, you will bring a high level of technical knowledge, but also an ability to spread

knowledge to your co-workers. You will help form the core of our engineering practice at lululemon by

contributing to all areas of development and operations (pre-production to production). You will be an

example of what good engineering looks like and help others around you refine their skills. You will be

part of a day-to-day production release team and may perform on-call support functions as needed.

Having a DevOps mindset is the key to success in this role, as Engineers are commonly part of full

DevOps teams that "own" all parts of software development, release pipelines, production monitoring,

security and support.

• Data Engineering Projects

• Data pipeline creation and maintenance. Stack: Google Cloud Platform (GCP), Azure

Cloud, Azure Databricks, Snowflake

▪ Includes engineering documentation, knowledge transfer to other engineers,

future enhancements and maintenance

• Create secure data views and publish them to the Enterprise Data Exchange via

Snowflake for other lululemon teams to consume

• Data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and

Unity Catalog

• Leverage existing CICD process for pipeline deployment

• Adhere to PII encryption and masking standards

• Data Engineering Tools/Techniques

• Orchestration tools - ADF, AirFlow, FiveTran

• Languages - SQL, Python

• Data Modeling - Star and Snowflake Schema

• Streaming - Kafka, EventHub, Spark, Snowflake Streaming

• DevOps Support

• Support improvements to current CICD process

• Production monitoring and failure support

• Provide an escalation point and participate in on-call support rotations

• Participate in discussions on how to improve DevOps

• Be aware of product release and how that impacts our business

• Take part in Agile ceremonies

• Perform engineering assignments using existing procedures and best practices

• Conduct research to aid in product troubleshooting and optimization efforts

• Participate in and contribute to our Engineering Community of Practice

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

• • 5+ years of relevant engineering experience

• • Google Professional Data Engineer Certification is preferred

• • Experience in Big Table, ClickStream data migration, Semi-Structured and Un-Structured data

• management

• • Experience with Google GCP and BigQuery

• • Experience with developing complex SQL queries

• • Experience with CI/CD principles and best practices

• • Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage Accounts.

• • Experience working with a Data Engineering team and understanding of Data Engineering

• practices.

• • Ability to learn, understand, and work quickly with new emerging technologies, methodologies,

• and solutions in the Cloud/IT technology space

• • Experience with bug tracking and task management software such as JIRA, etc.

• • Experienced in managing outages, customer escalations, crisis management, and other similar

• circumstances.

• 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.