Job Description
- Design scalable, resilient, and secure data platform architectures using Azure services (Synapse, Data Factory, Databricks, SQL).
- Architect modern data warehouse and data lake patterns (Medallion architecture, Data Lakehouse, Microsoft Fabric).
- Define data governance frameworks, data modeling standards, and robust security/compliance protocols.
- Architect data ingestion pipelines for structured, and real-time streaming data.
- Design, build, and optimize ETL/ELT workflows using Python, Spark, and SQL.
- Establish CI/CD pipelines, automated testing, and Infrastructure as Code (IaC) for data workflows.
- Mentor and lead a team of data engineers, providing technical guidance and code reviews.
- Collaborate with business stakeholders to translate strategic requirements into highly actionable technical roadmaps.
- Drive best practices for performance tuning, cost optimization, and system monitoring
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