EY
Principal Data Architect - Telecom, Media & Technology - Senior Manager - Consul
EY, Atlanta, Georgia, United States, 30349
Job description
Do you have the right skills and experience for this role Read on to find out, and make your application.Principal Data Architect - Senior Manager, Technology, Media & Telecommunications (TMT)
EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas always with the ambitions to keep doing more.
The opportunity
You will help our clients to enable better business outcomes while working in the rapidly growing TMT sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems in an effort to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
Skills and attributes for success
Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
Direct and mentor global data architecture teams, fostering a culture of innovation, collaboration, and continuous improvement.
Establish data governance policies and practices, including data security, quality, and lifecycle management.
Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role you must have
Bachelor’s degree in Technology, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning and at least 8-10 years professional consulting experience in industry or in technology consulting.
In-depth knowledge of data architecture principles and best practices, including data modeling, data warehousing, data lakes, and data integration.
Demonstrated experience in leading large Data Engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
Proficiency in data modeling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta lakes.
Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
Previous hands-on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Proficiency in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
Must have experience leading Infrastructure and Security engineers and architects in overall platform build.
Excellent leadership, communication, and project management skills.
A valid driver’s license in the US.
Willingness and ability to travel to meet client needs, potentially up to 50%.
Ideally, you’ll also have
Experience in at least one of Telecom, Media, and Technology industries.
Experience or exposure to data platform migration projects, including cloud migrations. Familiarity with various migration tools and strategies will be useful.
What we look for
We’re interested in passionate leaders with strong vision and a desire to deeply understand the trends at the intersection of business and Data and AI. We want a customer-focused professional who is motivated to drive the creation of great enterprise products and who can collaborate and partner with other product teams, and engineers. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
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Do you have the right skills and experience for this role Read on to find out, and make your application.Principal Data Architect - Senior Manager, Technology, Media & Telecommunications (TMT)
EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas always with the ambitions to keep doing more.
The opportunity
You will help our clients to enable better business outcomes while working in the rapidly growing TMT sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems in an effort to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
Skills and attributes for success
Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
Direct and mentor global data architecture teams, fostering a culture of innovation, collaboration, and continuous improvement.
Establish data governance policies and practices, including data security, quality, and lifecycle management.
Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role you must have
Bachelor’s degree in Technology, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning and at least 8-10 years professional consulting experience in industry or in technology consulting.
In-depth knowledge of data architecture principles and best practices, including data modeling, data warehousing, data lakes, and data integration.
Demonstrated experience in leading large Data Engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
Proficiency in data modeling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta lakes.
Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
Previous hands-on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Proficiency in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
Must have experience leading Infrastructure and Security engineers and architects in overall platform build.
Excellent leadership, communication, and project management skills.
A valid driver’s license in the US.
Willingness and ability to travel to meet client needs, potentially up to 50%.
Ideally, you’ll also have
Experience in at least one of Telecom, Media, and Technology industries.
Experience or exposure to data platform migration projects, including cloud migrations. Familiarity with various migration tools and strategies will be useful.
What we look for
We’re interested in passionate leaders with strong vision and a desire to deeply understand the trends at the intersection of business and Data and AI. We want a customer-focused professional who is motivated to drive the creation of great enterprise products and who can collaborate and partner with other product teams, and engineers. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
#J-18808-Ljbffr