Description

Key Skills: Data Architecture, Azure Data Services, Snowflake, Data Modeling, Data Warehousing, Data Governance, AI/ML, GenAI, Knowledge Graphs, Azure Synapse, Azure Data Lake, Azure Data Factory, Azure SQL, Microsoft Purview

Roles & Responsibilities:

• Define and drive enterprise data architecture strategy aligned with business goals and AI initiatives.
• Design scalable, secure, and high-performance data platforms using Azure and Snowflake technologies.
• Architect end-to-end data ecosystems covering ingestion, transformation, storage, governance, and analytics.
• Establish enterprise data architecture standards, governance, metadata management, lineage, and data quality frameworks.
• Design architectures for batch, real-time, hybrid, BI, AI/ML, and GenAI workloads.
• Collaborate with business, product, engineering, and AI teams to align data architecture with business use cases.
• Mentor architects and engineering teams while driving enterprise-wide adoption of architecture best practices.

Experience Required:

• 10 - 15 years of experience in Data Architecture, Data Engineering, or Enterprise Architecture.
• Proven experience designing enterprise-scale data platforms and architecture strategies.
• Strong expertise in Azure Data Services (Azure Synapse, Data Lake, Data Factory, Azure SQL, Purview) and Snowflake.
• Deep knowledge of data warehousing, data modeling, distributed systems, and integration patterns.
• Experience designing architectures for BI, real-time analytics, AI/ML, and GenAI solutions.
• Strong understanding of data governance, metadata management, semantic modeling, and Knowledge Graphs.
• Excellent stakeholder management, technical leadership, and mentoring experience.

Education: Any Graduation

Key Skills

Education

Any Graduate