Data Engineering Architect

*12-16 years of overall IT experience with significant data engineering & architecture exposure. *Strong Azure Cloud Data Engineering and associated services architecture knowledge *Deep hands-on experience with: oAzure Data Factory (ADF) - pipeline design, orchestration, integration runtime strategy oSQL - advanced querying, stored procedures, performance tuning *Strong troubleshooting skills for complex multi-system data issues. *Strong understanding of data architecture concepts: oData lakes/lakehouse/warehouse, dimensional modeling, ELT/ETL patterns oBatch orchestration, dependency management, SCD handling, incremental loads Azure Ecosystem (Preferred / Good to Have) *Azure data services experience in one or more: oAzure Synapse Analytics / Dedicated SQL Pools oAzure Databricks / Spark oADLS Gen2, Azure SQL DB, Managed Instance oEvent Hub / Kafka, Stream Analytics (if real-time involved) *Monitoring & observability: oAzure Monitor, Log Analytics, Application Insights *Security & identity: oAzure AD, Managed Identity, Key Vault, RBAC Engineering Practices *CI/CD practices for data pipelines; Git branching strategies and release governance. *Strong documentation skills: architecture diagrams, solution designs, operational runbooks.

We are looking for a strong Data Engineering Architect with 12-16 years of experience in building and architecting modern data platforms on Microsoft Azure. The ideal candidate will have deep hands-on expertise in Azure Data Factory (ADF) pipeline engineering, SQL performance tuning, and end-to-end data integration architecture, along with a strong analytical mindset to troubleshoot complex data issues. You will lead solution architecture, define best practices, and mentor teams to build scalable, secure, and reliable data solutions.