Global Network Technology Strategy & Advisory in Data Consulting

Accenture; Kuala Lumpur; On-site; MYR 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled professional to lead cloud-based architecture transformations. In this dynamic role, you will leverage your expertise in data architecture and analytics to solve complex business challenges. You will oversee the implementation of innovative solutions across various cloud platforms, guiding clients through their data migration journeys. This position offers the opportunity to work with multi-disciplinary teams and contribute to high-performance capabilities that drive growth and innovation. If you have a passion for data and a track record in consulting, this is the perfect opportunity to make a significant impact.

Qualifications

• 4-7 years of consulting experience in data architecture and governance.
• Expertise in cloud data integration and analytics platforms.
• Strong academic background in technology or engineering.

Responsibilities

• Identify and solve complex business problems using cloud technologies.
• Drive enterprise architecture transformation and data migration strategy.
• Manage multi-disciplinary teams to implement innovative solutions.

Skills

Data Architecture

Cloud Technologies

Data Governance

Information Security

Data Integration

Data Analytics

Client Communication

Education

Master’s in Business Administration

Bachelor's in Technology or Engineering

Certification in Data Management or Cloud Analytics

Tools

AWS

Azure

GCP

Snowflake

Hadoop

Cloudera

Job description

Here are just a few of your day-to-day responsibilities.

• Identifying, assessing, and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors
• Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models
• Called upon to apply your solid understanding of Data, Data on cloud and disruptive technologies.
• Driving enterprise business, application, and integration architecture
• Helping solve key business problems and challenges by enabling a cloud-based architecture transformation, painting a picture of, and charting a journey from the current state to a “to-be” enterprise environment
• Assisting our clients to build the required capabilities for growth and innovation to sustain high performance
• Managing multi-disciplinary teams to shape, sell, communicate, and implement programs
• Experience in participating in client presentations & orals for proposal defense etc.
• Experience in effectively communicating the target state, architecture & topology on cloud to clients
• Build strategy and roadmap for data migration to cloud
• Architect large scale data lake and DW on cloud solutions using AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, or Cloudera
• Implementing programs/interventions that prepare the organization for implementation of new business processes
• Deep understanding of Data and Analytics platforms, data integration w/ cloud
• Provide thought leadership to the downstream teams for developing offerings and assets

• Master’s in Business Administration preferred.
• Graduation degree in Technology based subject or Engineering with strong academic background.
• Certified on DAMA (Data Management) or Azure Data Architecture or Google Cloud Data Analytics or AWS Data Analytics.
• 4-7 years of large-scale consulting experience and/or working with hi tech companies in data architecture, data governance, information security and information management.
• We are looking for experienced professionals with information strategy, data architecture, data on cloud, data modernization, data operating model and data security experience across all stages of the innovation spectrum, with a remit to build the future in real-time.
• The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources.