Role Summary
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.
Responsibilities
* Lead solution architecture for data engineering projects.
* Define and enforce best practices for data platform design.
* Mentor and guide teams in building scalable, secure, and reliable data solutions.
* Resolve complex multi‑system data issues and provide troubleshooting expertise.
Required Skills & Qualifications
* 12–16 years of overall IT experience with significant data engineering and architecture exposure.
* Strong Azure Cloud Data Engineering and associated services architecture knowledge.
* Deep hands‑on experience with Azure Data Factory (ADF) – pipeline design, orchestration, integration runtime.
* Advanced SQL skills – querying, stored procedures, performance tuning.
* Strong troubleshooting skills for complex multi‑system data issues.
* Solid understanding of data architecture concepts: data lakes/lakehouse/warehouse, dimensional modeling, ELT/ETL patterns.
* Experience with batch orchestration, dependency management, SCD handling, incremental loads.
* Knowledge of Azure Monitor, Log Analytics, Application Insights for monitoring and observability.
* Familiarity with Azure AD, Managed Identity, Key Vault, RBAC for security and identity.
* Experience with CI/CD practices for data pipelines, Git branching strategies, and release governance.
* Strong documentation skills: architecture diagrams, solution designs, operational runbooks.
Preferred / Good to Have Skills
* Experience with Azure Synapse Analytics / Dedicated SQL Pools.
* Experience with Azure Databricks / Spark.
* Experience with ADLS Gen2, Azure SQL DB, Managed Instance.
* Experience with Event Hub / Kafka, Stream Analytics (if real‑time involved).
#J-18808-Ljbffr