Lead Operations EngineerHybrid

Title: Lead Operations Engineer

Location: Beaverton, OR

Duration: 12 months contract

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

WHAT YOU WILL WORK ON

We are supporting and maintaining data product solutions that consume fast-moving streams from eCommerce, retail, and partner channels to power the critical decisions that drive our business. You will be a key part of Nike’s Digital Transformation initiative through Nike’s Data & AI Operations & Support Team. Here you will help deliver an efficient and reliable experience for our customers as they leverage the Data Products that have been created in D&AI. We are looking to simplify the customer engagement experience through automation, standardized processes, and proactive engagement to drive increased customer satisfaction through a reliable Support experience. As a Lead Operations Engineer, you will need to be a self-starter with a proven sense of ownership, organization, and follow-through, and will often operate as a Subject Matter Expert (SME) on Support Operations. You will be responsible for developing solutions to improve reliability, maintainability, availability, and performance of the team, and will ensure that product and technical defects are communicated and accounted for with Product and Engineering leaders.

WHAT YOU WILL WORK DO

• Be a key contributor to overall framework, organization and design of D&AI Support processes
• Develop and maintain complex data visualizations and reports using Tableau and/or other reporting solutions
• Take initiative to identify and prioritize projects and tasks, and develop processes to improve efficiency and effectiveness
• Demonstrate strong analytical and problem-solving skills, with the ability to "read between the lines" and identify key issues and opportunities
• Collaborate with stakeholders to gather requirements and develop solutions that meet their needs
• Develop and maintain strong relationships with stakeholders, including supervisors, colleagues, and external partners
• Anticipate and respond to questions and requests from stakeholders, even when not specifically delegated or asked
• Proactively seek out opportunities to contribute to the team's success
• Work independently with minimal supervision, demonstrating a high level of independence and self-motivation

WHAT YOU BRING

• 5+ years experience developing data products that operate at scale
• 2+ years developing solutions w/ Python
• 2+ years of experience architecting and development in Airflow
• 2+ years developing solutions on a commercial cloud (AWS, Azure or GCP)
• 2+ years developing and support in database systems like Databricks, Snowflake or Teradata
• 1+ years of experiencing onboarding or mentoring new team members and peers
• Exposure to Agile, ideally knowledge of the SAFe methodology
• BS/MS in CS, a related field or equivalent experience

Ideal Technical Skills:

• Databricks / Snowflake / RDBMS
• Tableau / Cognos / DOMO / Power BI
• Apache Airflow / Spark / Hive
• Amazon AWS / S3
• Python
• Okta / SSO
• Confluence
• Jira
• Smartsheets
• MS Office

Nice to Have:

• Experience with various reporting solutions
• Certification in Tableau or other reporting solutions
• Experience with data visualization best practices and design principles
• Experience with Databricks
• Experience with Spark Expectations