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Principal Solution ArchitectBeaverton, OR.Align strategicwith tactical demands and deliver technical solution approaches that clearly describe the different views ofan architecturefor implementation. Engage,and partner with various functional leaders, technicaland executive partners to understandlong and short termroadmaps, requirements, enterprise security standards and reference architectures. Drive andthe right discussions that
have aMaster’s degree in Computer Science, Engineering, or Computer Information Systems and 2 years of experience in the job offered orArchitect-related occupation. Experience must include:
Software architecture
Data privacy
Data engineering
Application security
Data warehouse / lake
AWS Cloud Services
Privacy and risk management
Software engineering and design
architectures
Data governance
Apply at
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WHO ARE WE LOOKING FOR
We seek passionate engineers to join our team. As a Lead Systems Engineer, you will develop robust advanced analytics and machine learning solutions that have a direct impact on the business. You should have achieved proficiency in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. EMR). You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model. As a Lead Systems Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle. As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are critical in this role.
WHAT WILL YOU WORK ON
If this is you, you’ll be working with the Artificial Intelligence and Machine Learning (AI/ML) team at Nike. With teammates in Portland, Boston, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale. You’ll be designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact. You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by talented colleagues and aim to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large.
WHO WILL YOU WORK WITH
In this role, you’ll be working closely with the rest of our global team, along with commercial and consumer analytics, and enterprise architecture teams.
WHAT YOU BRING
Bachelor's degree in Computer Science,or related field, or equivalent combination of education, training and experience
5+ years of professional experience in software engineering
Strong analytical mindset and experience leading others in problem solving
Experience working in a team to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD
Expertise with agile development andtest drivendevelopment
Expertise with data structures and software architecture
Expertise with cloud architecture and technologies, in particular Amazon Web Services
Expertise with technologies like Docker, Kubernetes, Jenkins, Databricks, or Terraform
Experience with complex data sets, ETL pipelines, SQL, and general data engineering
Expertise inMLOps, API development, high performance computing, or DevOps are highly desirable
Effective communication skills (with team members, the business, and in code)
Experience providing technical leadership within a team and mentorship to others
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
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Beaverton, ORPerform technical analytics related to advanced data analysis, data mining, and source to target mapping; create and maintain complex context process and system diagrams; work with remote groups such as vendors, other Nike facilities, and or departments to gather and document tactical requirements from the business; coordinate and communicate functional requirements of business unit and technical solutions with IT capability resources by designing and documenting advanced functional specs; conform to standards, processes, and policies; apply global process standards to regional technology solutions; work with systems personnel to implement design; participate in development of project plan/timeline; provide input into project management and communicate project status; participates in change management at department and end user level; create reports and configure package solution to unique business requirements; perform testing activities including construction of test plans and scripts including the expected results and the validation of test results; communicate and document system changes to the business; and translate system functionality into business relevant language. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
Must have a, Data Science, Analytics and Five (5) years of progressive post baccalaureate experience in the job offered or inanalyst- related occupation. Experience must include:
Data analysis
Data modelling
Data quality
Business analysis
Cognos
SparkSQL, PL-SQL, T-SQL
Amazon S3, Teradata, Oracle DBMS
Financial, customer, retail, and compliance data
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These jobs might be a good fit