Azure Data Architect

K&K Global Talents is an international recruiting agency that has been providing technical resources globally since 1993. This position is with one of our clients in India , who is actively hiring candidates to expand their teams.

Title: Azure Data Architect

Location: Chennai (Onsite)

Employment Type: Full-time Permanent

Experience Required: 10-12 Years

Responsibilites:

• Architect scalable, secure, and high-performance data solutions for fraud and risk analytics.
• Design end-to-end Azure data architectures , covering ingestion, transformation, storage, governance, lineage, and consumption layers.
• Build and optimize ETL/ELT pipelines using Spark, PySpark, and Azure Databricks .
• Handle large-scale structured and semi-structured datasets , ensuring data quality and integrity.
• Collaborate with data science teams to prepare training datasets, support feature engineering, and enable ML model operationalization.
• Implement cloud-native data solutions on Microsoft Azure , using Azure Data Lake (ADLS Gen2), Azure Synapse Analytics, Azure Databricks, Azure Event Hubs, Azure Functions, Azure Key Vault.
• Define and enforce data governance practices including metadata management, lineage, data quality rules, and security controls.
• Drive technology evaluations, POCs , and contribute to the data platform roadmap .
• Lead deployments across environments (Dev/Test/Prod) ensuring stable and low-risk releases.
• Provide technical leadership , mentor data engineers, and maintain architectural standards across teams.

Required Skills:

• Strong experience in Azure Data Architecture and Data Engineering
• Hands-on expertise with Azure Databricks, ADLS Gen2, Synapse Analytics
• Strong proficiency in Spark / PySpark
• Experience building ETL/ELT pipelines at scale
• Solid understanding of structured & semi-structured data (Delta, Parquet, JSON)
• Experience with data governance, security, and access control (RBAC)

Preferred Skills:

• Experience in Banking Domain
• Exposure to streaming data architectures (Event Hubs)
• Experience supporting ML/AI workloads from a data platform perspective
• CI/CD exposure for data platforms