Senior Architect I - DAIM (Data Analytics Insights & Machine Learning)

Khu vực: Canada

Tiểu bang: British Columbia

Thành phố: Vancouver

Đơn vị kinh doanh: Store Support Centre (SSC)

Loại thời gian: 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 Data Analytics, Insights and Machine Learning (DAIM) team hosts and manages lululemon’s Global Data Analytics platform on cloud that is used for analytics and ML across the org. We operate with a vision to Enable conversion of data to intelligence for strategic differentiation and power business growth. 

A day in the life

The Architect will be part of the DAIM team. The ideal candidate will be working closely with DAIM engineering team and with other cross-functional technology teams , business teams, project stakeholders to understand the tech / business needs and design Data & Analytics solutions leveraging Azure/Snowflake stack 
The Architect would also be responsible for continuously identifying opportunities on improvements and reduction of technical debt & manual data manipulations to create efficiencies & optimize solutions for data delivery. 

Responsibilities:
  • Designing Data & Analytics solutions leveraging Azure/Snowflake stack.
  • Lead effort to develop technical standards to support and operate technologies within the current or future Microsoft Azure system platform.
  • Translate business, and functional requirements into technical specifications including defining data collection and database schema requirements.
  • Provide high level T shirt estimates to support project costing
  • Create  and maintain detailed solution design for the  approved projects and initiatives.
  • Recognize and adopt best practices in developing analytical insights including data integrity, analysis, test design, validation, and documentation.
  • Proactively promotes data quality and security through recommended approaches and practices
  • Work closely with our Lead and Principal Architects to design holistic solutions while partnering with software development teams in implementing the solutions.

Qualifications 
 
  • Bachelor’s degree and/or applicable experience in information / computer technology field.
  • Hands-on knowledge and understanding of Snowflake (Warehouse , Streams , Task  , Data Shares etc.)
  • 4+ years of proven experience building data pipelines using MSFT Azure tools and services (Azure Data Factory,  Azure Blob, Azure Databricks, Azure SQL Server, Azure Data Warehouse, Azure Batch..)
  • 2+ years of experience with Python and/or PySpark
  • Technical understanding of data model, data mapping and data integration with a cross-functional mindset
  • Strong experience with business intelligence and data warehousing design principles and industry best practices including multi-dimensional modelling (star schemas, snowflakes, de-normalized models, handling “slow-changing” dimensions)
  • Experience with the BI / DW lifecycle components including Source data analysis, ETL, ODS, DataMarts, Reporting, Dashboards, Analytics.
  • Good understanding and experience of real-time analytics, data stores, data modelling and data management, analytic tools, languages.
  • Extensive data analysis skills with strengths in drilling into underlying databases for discovery and trouble-shooting
  • Experience in working in Agile teams and working independently with Business stakeholders providing solutions and regular updates. 
  • Team player, motivated to learn new technologies, and able to grasp concepts and technologies quickly with analytical and problem-solving skills.
  • Be able to build pilot solutions and proof-of-concepts with minimal direction.

Must haves
  • Acknowledge the presence of choice in every moment and take personal responsibility for your life.
  • Possess an entrepreneurial spirit and continuously innovate to achieve great results. 
  • Communicate with honesty and kindness and create the space for others to do the same. 
  • Lead with courage, knowing the possibility of greatness is bigger than the fear of failure. 
  • Foster connection by putting people first and building trusting relationships. 
  • Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously. 

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