Description

You will define and drive enterprise data architecture strategy, designing scalable platforms using Azure and Snowflake to support AI, GenAI, and analytics workloads.

This role is on-site.

Responsibilities

• Architect end-to-end data ecosystems covering ingestion, transformation, storage, governance, and analytics.
• Design scalable, secure data platforms using Azure Synapse, Data Lake, Data Factory, and Snowflake.
• Establish enterprise data architecture standards, including metadata management, lineage, and data quality frameworks.
• Design architectures for batch, real-time, hybrid, BI, AI/ML, and GenAI solutions.
• Mentor architects and engineering teams while driving adoption of architecture best practices.

Required Skills

• 10+ years of experience in Data Architecture, Data Engineering, or Enterprise Architecture.
• Strong expertise in Azure Data Services (Synapse, Data Lake, Data Factory, Azure SQL, Purview).
• Proven experience with Snowflake for data warehousing and modeling.
• Deep knowledge of data governance, metadata management, and semantic modeling.
• Experience designing architectures for AI/ML and GenAI workloads.
• Strong understanding of distributed systems and integration patterns.
• Excellent stakeholder management and technical leadership skills.

Preferred Skills

• Experience with Knowledge Graphs.
• Background in driving enterprise-wide adoption of data standards.

Key Skills

Education

Any Graduate