Distinguished Software Engineer (Remote Work Option)
Open to remote work except in South Dakota, Vermont and West Virginia.
The annual base salary for this position ranges from $199,200.00 in our lowest geographic market to $471,100.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.
Information about benefits can be found here.
DISTINGUISHED ENGINEER
Become a Part of the NIKE, Inc. Team
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.
WHO WE ARE LOOKING FOR
We are seeking a highly accomplished Distinguished Engineer to lead and inspire our engineering & architecture teams responsible for developing and maintaining our foundational privacy, governance & data platforms and delivering great integrated solutions for our users. As a key member of our technology leadership team, you will oversee the design, architecture, and implementation of critical Data & Ai Governance capabilities & platforms, including relational and non-relational databases, streaming platforms, analytical data lakehouse, business intelligence tools, AI/ML and GenAIplatforms. Your expertise will be instrumental in driving innovation and ensuring the scalability, reliability, and performance of our data ecosystem.
WHAT YOU WILL WORK ON
Technical Leadership: Provide strategic direction and technical guidance to engineering teams Data & Ai Governance And Enablement teams.
Architecture: Design and evolve the overall architecture of our foundational data & governance solutions, ensuring they align with business objectives and meet the evolving needs of our organization.
Innovation: Foster a culture of innovation and experimentation, driving the adoption of emerging technologies and best practices in data & governance engineering.
Team Development: Mentor engineering talent, building high-performing teams and fostering a collaborative work environment.
Collaboration: Partner with product management, data science, and other stakeholders to understand business requirements and translate them into technical solutions.
Problem Solving: Identify and resolve complex technical challenges related to data security, governance, performance, scalability, and reliability.
Industry Trends: Stay abreast of industry trends and emerging technologies in the transactional and analytical data engineering space.
Hands-on coding: Actively participating in design, development and debugging activities, demonstrating deep understanding of data engineering principles and practices.
WHO YOU WILL WORK WITH
This role reports to the Head of Data & Ai Governance and Enablement and will work closely with Enterprise D&Ai, Enterprise Architecture & Platforms, the Distinguished Engineering Community, and key partners across Domain engineering, Security, Ops and Geos.
WHAT YOU BRING
Degree in Computer Science, Engineering, or a related field plus 7 years of experience or equivalent combination of education, experience or training.
Proven track record as a Distinguished Engineer or equivalent role in a technology-driven organization.
Excellent leadership and communication skills, with the ability to influence, mentorand inspire teams.
Strong ability to navigate a complex technology landscape objectively and diplomatically.
Deep expertise in foundational data goveranance software solutions, datataplatforms, including relational and non-relational databases, streaming platforms, data lakehouses, AIML/GenAI platforms and business intelligence tools.
Deep understanding of privacy and data architecture for transactional and analytical solutions.
Understanding of AI/ML technologies and their application to data-driven solutions.
Proven ability to drive innovation and solve complex technical challenges.
Strong analytical and problem-solving skills.
Hands-on experience with data engineering tools and technologies.
Active involvement in the open-source community and a history of contributing to relevant projects and/or experience in publishing technical articles.
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person 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.
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