Azure Data Architect

Location Singapore
Discipline Insurance
Job Reference BBBH148630_1742280101
Salary S$9000.00 - S$12000 per month
Consultant Name Goel Navneet
Consultant Email [email protected]
Consultant Contact No. 65515581
EA License No. 02C3423
Consultant Registration No. R1982194


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 architecting data solutions on Azure cloud platform
  • 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.
  • Experience in machine learning and predictive analytics
  • Candidates with traditional ETL knowledge
  • 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