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Deloitte Product Architect - Sensing & Shaping in Parsippany, New Jersey

Are you looking to architect and build products with cutting-edge technology? Do you love to figure out scalable products to solve complex business issues? Do you enjoy communicating innovative ideas to senior leaders in an organization to shape their strategy?

Work you'll do

The Product Architect will be part of ConvergeCONSUMER Sensing and Shaping product team. ConvergeCONSUMER is Deloitte Consulting's innovation and product arm committed to shaping the future of the consumer businesses across retail, consumer products manufacturing, automotive, transportation, and hospitality sectors. As a part of ConvergeCONSUMER, Sensing and Shaping product team builds and manages a suite of differentiated products that help consumer businesses anticipate and react to what consumers want.

Key Responsibilities:

  • Work with Product Managers and Product Owners to understand business challenges and opportunities, evaluate feasibility of features, determine priorities, and come up with product architecture options and recommendations

  • Be responsible for designing and implementing ingestion, storage, consumption and delivery processes for complex, large-volume, multi-variate, batch and real time data sets used for analytics and data science pipelines

  • Lead design sessions and workshops to clarify requirements and determine architecture options

  • Make high-level design choices for the software structure, frameworks, protocols, and algorithms and guide engineering teams during implementation

  • Get hands-on and support your product team in the implementation of complex business logic and algorithms

  • Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies

  • Support and coach your team on best coding practices, development tools, and pathfinding and surveys for technologies

  • Ensure SDLC best practices and standards are followed

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Preferred Qualifications and Skills:

  • Bachelor's in Computer Science / Engineering, Information Technology or similar field

  • 10+ years of technology experience in a product company

  • 5+ years of architecture, design, implementation, and/or support of cloud technologies and platforms

  • Deep experience in building products using cloud-based platforms. Ability to build applications using cloud native services/technologies is a must.

  • Understanding of AI / ML landscape and how to apply this technology to solve business problems

  • Hands-on experience with one or more programming languages (Python, PySpark, JavaScript), databases & concepts (normalization / optimized query design / database design), data structures, Object Oriented Concepts

  • Excellent communication and analytics skills. Comfortable in communicating with executives.

  • Ability to understand requirements and identify right technologies for building prototypes

  • General business knowledge in consumer industry (e.g., retail, consumer products manufacturing)

  • Strong experience with data analytics and data integration SaaS tools (e.g., Databricks)

  • Strong experience with data analytics and data integration cloud native tools

  • Basic knowledge and ability to work with visualization tools (e.g., PowerBI, Tableau)

  • Preferred certifications in one or more leading cloud providers: Azure, GCP, AWS would be a plus

    Qualified applicants must be able to work in the Unites States without need for sponsorship now or in the future

#Product22

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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