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Job Title


Azure Data Architect


Company : K&K Global Talent Solutions INC.


Location : Kottayam, Kerala


Created : 2025-12-18


Job Type : Full Time


Job Description

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 ArchitectLocation: Chennai (Onsite)Employment Type: Full-time PermanentExperience Required: 10-12 YearsResponsibilites: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 EngineeringHands-on expertise with Azure Databricks, ADLS Gen2, Synapse AnalyticsStrong proficiency in Spark / PySparkExperience building ETL/ELT pipelines at scaleSolid understanding of structured & semi-structured data (Delta, Parquet, JSON)Experience with data governance, security, and access control (RBAC)Preferred Skills:Experience in Banking DomainExposure to streaming data architectures (Event Hubs)Experience supporting ML/AI workloads from a data platform perspectiveCI/CD exposure for data platforms