What is the opportunity?

You will work in the NCS NEXT Data & AI Practice as the Data Platform Architect and help the team for the following: *

Translate client pain-points into problem statements, gathering requirement from client business needs, design and architect enterprise data platform to create business values

Leverage enterprise wide information assets and system capabilities to design, map, develop, administer and test data solutions for a data warehouse / Lakehouse environment with an emphasis on the Extract-Transform-Load (ETL) process

Establish data management processes such as data security, privacy classification and advise our clients on the collection, storage and consumption of information in their organisations

Provide the optimal architecture and delivery approach that will service clients’ needs with a balance of costs, capability, and risks to achieve the business outcomes

Develop solution proposals that provide details of project scope, approach, deliverables and project timeline and solution oversight to delivery architects and teams

What do you need to succeed?

Able to articulate complex architectural problems and solutions

Possess strong critical thinking and communication skills to understand our client’s core business objectives

Work creatively and analytically in a problem-solving environment

Desire to work at the intersection of business, and technology

Build and maintain complex queries, streaming and real-time data pipelines in support of data fabric and data mesh data management approaches

Develop playbooks, standardized framework, practice guides and other artefacts that will allow our practitioners perform their work in a structured, standard manner

Stay up to date with data modelling and data management platforms, tools, and techniques

Must-have:

Degree holder in the computer engineering, computer science, Information Technology System, or other related disciplines

3 - 5 years of experience in Data Platform Architect Role

Strong competency in data modelling and architecting skills

Strong competency in building large scale enterprise data pipelines using Data Analytics platforms and applied onto high performing data warehouses, data lakes and data hubs

Have experience in data platform migration projects

Hands-on experience with one or more of the following Analytics technology stacks

Data Warehouse & Modelling: Data Solutions in popular cloud platform (Azure, AWS), DataBricks, Data Lake, Data Fabric, Data Hubs, Data Mesh

Data Management, Governance & Storage: Talend, Denodo, Collibra, Informatica, Cloudera

Data Manipulation languages: Spark, Scala, Impala, Hive SQL, Apache Nifi, Kafka

Nice to have:

Pre-Sales Experience for complex deals

Experience in MLOps / ALOps

Experience with infrastructure management and administrative tools and skillsets

Experience with data masking and tokenisation techniques

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.