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Accenture Data Architecture Senior Manager in Singapore, Singapore

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. Our 506,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

About AI:

Applied Intelligence, the people who love using data to tell a story. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds?

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.

Data Architecture, Senior/ Manager – Applied Intelligence

Harness the power of data and artificial intelligence to accelerate change.

Join our Applied Intelligence team and create innovative, forward thinking and life changing solutions using cutting-edge technologies. We are changing the world fast, come with us.

https://www.accenture.com/au-en/services/ai-artificial-intelligence-index

Your role: Data Architecture, Senior/ Manager

This role provides the opportunity to create the blueprints and solutions for the future. You will assess a company's potential data sources (internal and external) and design a plan to integrate, centralise, protect and maintain. This allows our clients to imagine and attain a platform that will provide them access to critical information in the right place, at the right time.

  • Project lead technology consulting engagements and solution meetings

  • Evaluate the current state of the client’s databases and data systems to identify database structural necessities

  • Identify new solutions to increase efficiency and performance

  • Design and implement effective database solutions and models to store and retrieve data

  • Deliver the overall database structure, including recovery, security, backup, and capability specifications

  • Assess database implementation procedures to ensure they comply with internal and external regulations

  • Prepare accurate database design and architecture reports for management and stakeholders

  • Implement the database solutions including developing process flows, coordinating with data engineers and analysts, and documenting the installation process.

  • Oversee the migration of data from legacy systems to new solutions.

  • Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.

Set Yourself Apart: Skills & Experience.

  • In-depth understanding of Big Data & Analytics landscape and experience in building end to end architecture using distributed and Big Data ecosystem components

  • 10+ years of experience working with pure data processing and big data technologies

  • 3+ years in a people management role

  • Strong project management and organizational skills

  • Technical leadership in delivering the scalable data and AI/ML architecture by understanding client requirements and in designing event driven architecture

  • Previous exposure to open source technologies related to big data and data on cloud

  • Ability to lead the architecture discussions with technical and business teams

Core Technical Skills:

  • Data Modeling skills - Data Vault/ Dimensional modelling

  • Azure, AWS, Google Cloud Platform

  • Object-Oriented or functional programming

  • RDBMS, SMP, MPP and NoSQL

  • Distributed systems, data integration and streaming processing expertise

  • Metadata, data catalog and MDM knowledge​

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