Who we are
lululemon is a yoga-inspired technical apparel company up to big things. The practice and philosophy of yoga informs our overall purpose to elevate the world through the power of practice. We are proud to be a growing global company with locations all around the world, from Vancouver to Shanghai, and places in between. We owe our success to our innovative product, our emphasis on our stores, our commitment to our people, and the incredible connections we get to make in every community we are in.
About this team
The Data Engineering team is responsible for delivering the engineering services, building pipelines, stream data. As the Data Architect, you will work with some of the most interesting Data Architect solutions, BI Architect solutions & knowledge to help the team and be a part of a growing team.
A day in the life:
- Inform, implement, and evolve data infrastructure, platform, and tooling, with the constant mission to accelerate, to scale and to sustain value creation through these.
- Architect, implement, deploy, support, and manage change for data platform infrastructure, and technology, working closely with the Data Solution Manager and Technology Director.
- Design and build complex data models to support performance and accurate analytical insight, science research and marketing activation purposes removing excessive data preparation from the solution users to expedite their processes and reduce effort duplication and subsequent errors.
- 8 to 10 Year of overall work experience in Data Solution domain, retail experience is plus.
- Expert level knowledge in two or more of the following subject areas specialisms, so that you can lead data technology architecture from a position of technical authority:
- Data Engineering patterns and practices for efficient & optimized utilization from raw data
- Data Warehousing, semantic layer definitions and scaled data consumption patterns.
- Distributed compute and processing data in parallel.
- Robust enterprise grade data integration, ingestion, management & pipelines.
- Data streaming and associated "Lambda" style data architectures.
- Operationalization of Data Science outcomes, including continuous model qualification.
- Experience of 2 or more of the following core Azure data components, or very strong adjacent experience from other platforms.
- Azure Storage (Delta Lake Store, Blob Storage, etc. )
- Must Storage knowledge on Databricks / Spark
- Azure Functions, Event Hub and other adjacent data relevant components.
- Azure Kubernetes Service or other Containerized delivery technology.
- Experience delivering specialized & detailed reference architectures as content
- Experience with data modelling and distributed data architecture concepts
- Superb problem solving and outstanding communication skills with the ability to describe complex & abstract technical concepts to peers and engineers.
- Bachelor's degree in Computer Science, Mathematics, other relevant discipline, or equivalent practical.
- 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.
- Willing to seek the truth from data
- Integrates fun and joy as a way of being and working.
