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Enterprise Architect
2 months ago
Title: Enterprise Architect- Data Engineering
Key Skills: Cloud and Data Modernization, AI, ML, Azure data Factory Data Bricks
Experience:15+ years
Location: Gurugram
Key Skills:
Enterprise data architecture strategy development
Cloud migration and data modernization (Azure, Databricks)
Data solutions delivery using AI, ML, and analytics
Data governance, security, and compliance
Data integration, storage, and retrieval systems
Unified data modeling, ETL/ELT tools (SSIS, Informatica, Matillion, DBT)
Data virtualization architecture (Azure, Databricks, PySpark)
Relational and non-relational data stores (Hadoop, SQL, MongoDB)
DevOps, Data Lake, and Data Fabric concepts
Leadership in technical and cross-functional teams
Experience:
Proven experience designing and implementing complex data solutions aligned with business objectives.
Hands-on experience with data modeling, data integration, and data governance.
Prior experience in delivering and scaling data analytics frameworks, particularly in cloud environments (Azure, Databricks).
Extensive knowledge of AI/ML technologies to enhance business productivity.
Demonstrated ability to provide technical leadership and guide data architects, engineers, and related roles.
Strong background in data security, compliance, and governance initiatives.