Senior Data Engineer

Senior Data Engineer


Location: Seattle, WA - Hybrid 2-3 days per week


**onsite interview highly desired**

As a Data Engineer in the MarTech and Brand Technology team at client, 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 client 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: 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

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
• Azure certification is preferred.
• Experience with DBT/DLT and working with Medallion Architecture
• Experience with Azure Cloud deployments and Configurations.
• Experience with CI/CD principles and best practices including Azure DevOps and Repos.
• 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.
• Experience with Terraform and ARM templates is preferred.
• 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.