Analytics Tech Lead – Nike Technology 737 views

At Nike, we serve athletes. Fueled by the insights of the world’s best, we design and create products to elevate human potential on a global scale. As a Technology Lead for North America Data Engineering, you’ll use your technical expertise and leadership skills to work with diverse teams to bring cutting edge data products to life.

We are a diverse lineup of thousands spread across the globe. Together, we are building a smarter, more connected and automated value chain. And we are looking for world-class talent like you to contribute to this journey.

Nike is embracing Big Data technologies to enable data-driven decisions. As a tech lead, you will work with a variety of talented Nike teammates and be a driving force for building solutions for Nike Technology. You will be working on development projects related to marketplace performance, supply chain, and merchandising.

TECH LEAD RESPONSIBILITIES

• Help lead a team of data engineers, architects, and platform engineers to build innovative and sustainable data products that demonstrate business value
• Lead the design and build-out of reusable components, frameworks and libraries at scale to support analytics products
• Lead the design and implementation of product features in collaboration with business and technology stakeholders
• Anticipate, identify and solve issues concerning data management to improve data quality
• Help clean, prepare and optimize data at scale for ingestion and consumption
• Drive the implementation of new data management projects and refactoring of the current data architecture
• Help implement complex automated workflows and routines using workflow scheduling tools
• Lead the build-out of continuous integration, test-driven development and production deployment frameworks
• Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
• Analyze and profile data for the purpose of designing scalable solutions
• Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
• Mentor and develop data engineers in career development and adopting best practices

Qualifications

• Advanced experience building cloud scalable, real time and high-performance data lake solutions leveraging AWS, EMR, EC2, S3, Spark, Hive & Lambda
• Experience with relational SQL, preferably Snowflake
• Experience with Python or another scripting language
• Experience with source control tools such as GitHub and related dev process
• Experience with Airflow or another scheduling tool
• Understanding of micro service architecture
• Strong understanding of developing complex data solutions
• Experience working on end-to-end solution design
• Experience preparing data to be analyzed and visualized (preferably with Tableau)
• Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions
• Willing to learn new skills and technologies
• Has a passion for data solutions
• Strong understanding of data structures and algorithms
• Strong understanding of solution and technical design
• Has a strong problem solving and analytical mindset
• Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
• Able to quickly pick up new programming languages, technologies, and frameworks