symphony.is
symphony.is
501 – 1,000 Employees
eCommerceHealthcareIndustrial
symphony.is is a software development and design company that helps organizations build and improve digital products across healthcare, eCommerce, consumer and retail, and industrial markets. Its work spans end-to-end product development, legacy system transformation, workflow optimization, and the implementation of technologies including blockchain and AWS services. The company partners with established brands to address complex technology challenges and create solutions aligned with business goals.

Principal Data Architect (Hybrid, Chicago)

Lead data strategy, governance, and advanced analytics at Symphony, a global design and development software company. Build scalable data capabilities, strengthen data literacy, and enable better business decisions.

Description

  • Develop data strategies tied to business objectives while evaluating existing infrastructure and pinpointing opportunities for improvement
  • Work with clients and stakeholders to turn business requirements into practical data programs and actionable insights
  • Establish and maintain governance practices covering data quality, security, and regulatory compliance
  • Guide the selection and implementation of data platforms and technologies for scalable architectures and advanced analytics, including AI, machine learning, and predictive modeling
  • Help teams interpret information, identify meaningful trends, and apply data to business decisions
  • Advance data literacy through training and support organizational adoption of new data practices and technologies

Requirements

  • Bachelor’s degree in computer science, information technology, or a related discipline, or equivalent practical experience
  • At least 10–12 years of professional experience in data engineering
  • Demonstrated expertise in creating comprehensive, actionable data strategies and frameworks
  • Strong command of data governance, compliance requirements, and data quality management
  • Ability to interpret and communicate complex data in a way that supports business audiences
  • Proficiency with modern data platforms, tools, and big data ecosystems
  • Experience managing data initiatives and leading cross-functional teams
  • Knowledge of advanced analytics methods, including AI, machine learning, and predictive modeling
  • A proactive approach to ongoing learning and process improvement
  • Ability to understand business context and logic
  • Enjoyment of working in a positive, collaborative environment
  • Enthusiasm for international teamwork and using well-written and spoken English every day

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