Onsite Data Architecture Lead - Data Modeling & Integration

Accenture; Charlotte (NC); Vor Ort; USD 65.000 - 79.000; Vollzeit

Zusammenfassung

Accenture Flex in Charlotte, NC is seeking a data architecture professional to define data requirements, model data structures, and drive integration across teams on a fixed-duration project.

The role requires at least 5 years’ experience and advanced data modeling skills; you will lead a cross-functional team onsite with the client three days per week and participate in design discussions to improve data management.

Qualifikationen

• Minimum 5 years of work experience.
• Advanced proficiency in Data Modeling is required.
• Associate's degree or higher is required.

Aufgaben

• Define the data requirements and structure for the application.
• Model and design the application data structure storage and integration.
• Be a subject matter expert; collaborate and manage the team to perform decisions; engage with multiple teams to provide solutions.
• Take ownership of data architecture components and ensure alignment with project goals.
• Guide less experienced colleagues in data modeling and architecture.
• Contribute to data integration strategies to enhance interoperability.
• Collaborate with cross-functional teams to resolve complex data challenges.
• Participate in solution design discussions to improve data management approaches.
• This role is based in Charlotte, NC and requires onsite presence with the client 3 days per week.
• There is a 5 days away per quarter mandate by the client.

Kenntnisse

Data Modeling

Data Architecture

Agile Scrum

Team Leadership

Ausbildung

Associate's degree

Bachelor's degree

Jobbeschreibung

Accenture Flex in Charlotte, NC is seeking a data architecture professional to define data requirements, model data structures, and drive integration across teams on a fixed-duration project.

The role requires at least 5 years’ experience and advanced data modeling skills; you will lead a cross-functional team onsite with the client three days per week and participate in design discussions to improve data management.