Big Data Solution Architect Big Data Solution Architect …

in Petaling Jaya, Malaysia
Permanent, Full time
Be the first to apply
in Petaling Jaya, Malaysia
Permanent, Full time
Be the first to apply
Big Data Solution Architect
We help organizations to work smarter and grow faster. Our work is always evolving to respond to industry trends and management focus, and we combine our deep technical skills in response to our clients' changing needs. Over time, what we do remains closely linked with helping our clients improve the way they operate; innovate and grow; reduce costs; manage risks; leverage talent; and change the way they do business.

Our aim is to support our clients in designing, managing and executing lasting beneficial change.

Responsibilities :
o Facilitate the establishment and execution of the roadmap and vision for information delivery and management; including the enterprise data warehouse, big data, BI & analytics, content management and data management
o Lead Business Analysts, Data Engineers and Data Scientists to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy
o Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve accordingly
o Engage an end-to-end approach by connecting all the pieces of data to deliver the data while leveraging all available assets
o Provide advice, guidance and direction to carry out major plans and procedures to ensure schedule attainment, and performance and budget targets are met.

Requirements :
o Minimum 5 years of experience in enterprise data architecture, integration and analytics, with a proven track record of advising clients and delivering large projects in strategy, design and implementation of Data Warehouse, Big Data and Analytics solutions. Experience in the Telecommunications Industry (applications, systems and data sources) is a must.
o Minimum five years leading a team including data engineers, data scientists and BI Developers.
o Bachelor's degree in computer science or relevant field from an accredited college or university; Master's degree from an accredited college or university preferred
o Strong technical experience in the following:
o Data Warehousing, BI and Big data Stack and solutions, including cloud technologies.
o Data architecture, including data model design and implementation (incl. relational, dimensional, No-SQL)
o Data Integration design and implementation (e.g. ETL, messaging, replication and APIs)
o Architectural governance of solutions
o Strong data management best practice (e.g. data quality, metadata management, data lineage)
o Deep hands-on experience with the following tools and technologies is preferred: Cloudera Distribution Hadoop, HP Vertica (Data Warehouse), Talend/Spark (Data Integration), Qlik (Reporting), Virtualization (Denodo) and Machine Learning (Python).

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