Azure Data Architect | Banking

apartmentMANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD placeToa Payoh descriptionPermanent calendar_month19/3/25

You will be the Azure data platform Technical Lead to plan out on-premises system migration, include migrate methodology, data requirements and compliance strategy. Also provide insightful knowledge to guide internal team better support on the building of Azure data warehouse, Databrick, data pipelines and Power BI reports.

Job Responsibilities

Analyse the current practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data and Analytics Services.
Provide technical and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modelling, database design & implementation, data visualization, and advanced analytics.
Collaborate with project managers in estimating technical tasks and deliverables.
Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.
Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards.

Job Requirements

Bachelor’s degree in information technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
Min. 10 years of experience in Data Warehousing, Data Analytics, Realtime data integration or Business Intelligence
Min. 3 years of experience as a Data Architect, Solution Architect or Technical Lead
Min. 2 years of experience in managing technical team and leading on Azure data platform implementation.
Knowledge in both traditional and modern data architecture and processing concepts such as SQL, Hadoop, Spark, Kafka and business analytics
Proficiency in Databricks is a must.
Experience in technology skillsets:Azure database platforms e.g. Azure SQL database, Azure Databricks, Azure data Lake Gen2

Azure data integration tools e.g. Azure Synapse, Azure Data factory, Azure Event Hub.
Data visualisation tools e.g. QlikView, Power BI
Programming : R & Python

Possess architectural sense in connecting data sources, data visualization, structured and unstructured data.
Candidates with traditional ETL knowledge
Knowledge in financial sector technologies, products and services
Able to multi-task in a challenging technical environment to deliver high quality solutions
A meticulous team player who has proactive and positive attitude
Excellent communication, interpersonal and presentation skills

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