Lead Architect - Finance Data Hub (Fdh)

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
We are standing-up our Finance data warehouse and looking for a self-motivated Lead Architect that has experience working with Finance & Enterprise data that will lead data and integration design for the FDH team. In this role you will have the opportunity to work with multiple technical and business teams & designing data warehouse solutions for the FDH team that best support our organization.
a day in the life
You will be viewed as a strong technical leader with data architecture and engineering skills. Your background will include a proven track record of leading and scaling data engineering teams, strong communication and collaborative skills, significant track record of product ownership, and a strong vision for how data can inform business strategy.

• Lead effort to develop technical standards to support and operate technologies within the current or future Microsoft Azure system platform
• Recognize and adopt best practices in developing analytical insights including data integrity, analysis, test design, validation, and documentation
• Lead Capacity Planning and Management activities to ensure that Data & Integrations will be able to scale with the growing business
• Create and maintain detailed solution design for the approved projects and initiatives
• Provide high level T-shirt estimates to support project costing
• Proactively promotes data quality and security through recommended approaches and practices
• Provide strong technical leadership and mentor our team of Data Engineers
• Work with cross-functional teams to help define master data management governance rules within a data mesh enterprise environment
• Designing Data & Analytics solutions leveraging Azure/Snowflake/Power BI stack from many source systems, preferably including EPM & EBS
• Creation of Technical Specifications, Design Documents, and Data Mapping - keeping in mind the best practices and principles of integration design and architecture
• Translate business and functional requirements into technical specifications including defining data collection and database schema requirements
• Be instrumental in identifying direction of technology skill set required for Lululemon, ultimately influencing the hiring of exceptionally talented team of engineers
• Provide input and thought leadership on the use of shared models, re-usable architecture and implementation implications

Qualifications

• Demonstrated expertise with message brokers such as Kafka and containerization tooling such as Docker and Kubernetes
• 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, and Analytics
• 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
• Extensive data analysis skills with strengths in drilling into underlying databases for discovery and troubleshooting
• 7+ years of experience building data pipelines using Microsoft Azure tools and services (Azure Data Factory, Azure Blob, Azure Databricks, etc)
• Demonstrated expertise with delivering end-to-end data products to business stakeholders (from source integration to reporting roll-out)
• 2+ years of experience with Python and/or PySpark
• 10+ years of software engineering experience Data Warehousing, Business Intelligence, and 3+ years in a lead role
• Hand-on knowledge and understanding of Snowflake (Warehouse, Streams, Task, Data Shares etc.) as well as Oracle EBS & EPM
• Experience in working in Agile teams and working independently with Business stakeholders providing solutions and regular updates
• Good understanding and experience of real-time analytics, data stores, data modelling, data management, analytic tools, and languages
• Preferred experience in Oracle integration tools like Oracle Data Integrator & Oracle Golden Gate
• Technical understanding of data model, data mapping, and data integration with a cross-functional mindset

must haves

• 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
• Communicate with honesty and kindness and create the space for others to do the same
• Possess an entrepreneurial spirit and continuously innovate to achieve great results
• Acknowledge the presence of choice in every moment and take personal responsibility for your life
• Lead with courage, knowing the possibility of greatness is bigger than the fear of failure

Additional Notes
Immigration support is potentially available for this role.