Lead Data Engineer - Consumer Product Innovation
Lead Data Engineer - Consumer Product Innovation
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1 Vacancy
Job Description
Job Summary
We are seeking a highly skilled and motivated Lead Data Engineer to join our data engineering team in Nikes Consumer Product and Innovation (CP&I) organization. In this role you will be responsible for designing building and maintaining scalable data pipelines and analytics solutions. As a Lead Data Engineer you will play a key role in ensuring that our data products are robust and capable of supporting our Advanced Analytics and Business Intelligence initiatives. You will be reporting to the Engineering Director and be part of a team that will be a driving force in building a crosscapability data foundation defining and implementing data products to deliver data and AI solutions that drive business growth for Nike.
Key Responsibilities
Lead the design development and deployment of scalable data pipelines and architectures.
Collaborate with data scientists engineers analysts product managers and business stakeholders to understand data requirements translate them into technical specifications and deliver data solutions that drive decisionmaking.
Mentor and provide technical guidance to junior data engineers fostering a culture of collaboration innovation and continuous improvement.
Develop and enforce best practices for data engineering including coding standards data governance and performance optimization.
Communicate complex technical concepts to nontechnical stakeholders ensuring alignment and understanding across teams.
Participate in code reviews provide feedback and contribute to continuous improvement of the teams coding practices.
Design build and maintain robust ETL/ELT pipelines reusable components frameworks and libraries to process data from a variety of data sources ensuring data quality and consistency.
Monitor and troubleshoot data pipelines ensuring high availability and performance.
Implement CI/CD pipelines to automate deployment and testing of data engineering workflows.
Required Qualifications
Technical Expertise:
- Proven experience 5 years) as a Data Engineer with a focus on Databricks PySpark and SQL.
Strong expertise in Apache Spark and distributed computing frameworks with handson experience optimizing Spark jobs for performance and scalability.
Proficiency in SQL with the ability to write complex queries and perform data transformations.
Experience with Databricks Lakehouse Platform Medallion architecture and Delta Lake.
Experience working with AWS including data services such as S3 and RDS.
Experience with data modeling ETL/ELT processes and data warehousing concepts.
Experience with CI/CD pipelines version control (Git) and DevOps practices in a data engineering context.
Leadership & Collaboration:
- Strong leadership skills with a proven ability to lead and mentor data engineering teams.
Excellent problemsolving skills and the ability to design solutions for complex data challenges.
Effective communication and collaboration skills with the ability to work crossfunctionally and translate technical concepts for nontechnical stakeholders.
Education:
Bachelor Degree or a combination of relevant education training and experience
Preferred Qualifications:
Familiarity with realtime data processing frameworks such as Apache Kafka Kinesis or similar.
Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments.
Certification in Databricks (e.g. Databricks Certified Data Engineer Databricks Certified Developer for Apache Spark).
We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers sign language interpreters accessible and single location for inperson interviews closed captioning and other reasonable modifications as needed. If you discover as you navigate our application process that you need assistance or an accommodation due to a disability please complete the Candidate Accommodation Request Form.
Employment Type
Full-Time
