Desired Competencies (Technical/Behavioral Competency)

Must-Have

• Proven experience in data architecture and solution design on Azure.
• Strong knowledge of Azure services: Data Lake, Synapse, Data Factory, Databricks, Event Hub, and Cosmos DB.
• Expertise in data modeling, ETL processes, and data warehousing concepts.
• Proficiency in SQL, Python, and/or Spark for data engineering tasks.

Good-to-Have

• Familiarity with Security best practices and compliance frameworks
• Excellent communication and stakeholder management skills
• Preferred: Azure Data Engineer or Azure Solutions Architect certification

SN

Role descriptions / Expectations from the Role

1

Design end-to-end data architecture leveraging Azure services (Azure Data Lake, Synapse Analytics, Azure SQL Database, Databricks, etc.)

2

Define data modeling standards and implement optimized data storage solutions

3

Develop strategies for data integration, migration, and transformation using Azure Data Factory and related tools

Type

Details of the Role (For Candidate Briefing)

Reporting To Which Role

Azure Data Architect

Size of the Team, if any Reporting to this Role

NA

On-site Opportunity

Yes, Singapore Customer Location

Unique Selling Proposition (USP) of The Role

Details of The Project (A short Briefing on the Project can be provided herewith. It may be shared with external stakeholders like job-agencies etc.

• Build data ingestion pipelines to Databricks with ADF and IDMC
• Data Migration from Cloudera and Oracle DB to Azure Databricks
• Data Reconciliation and Validation to ensure integrity and accuracy