Principal Data Architect

We are looking for a Principal Data Architect to spearhead the design and delivery of enterprise-scale, AI-ready data platforms. This is a high-impact leadership role for someone who has architected large cloud data ecosystems and is now ready to shape how enterprises govern data and unlock it for Generative AI and Agentic AI use cases. You will own the strategic vision, translate it into a technical roadmap, and lead the teams that bring it to life, while remaining hands-on enough to guide critical design decisions.

Requirement:

• 15-20 years in Data Architecture and Cloud Data Platforms, with several years in an architecture leadership capacity.
• Deep, hands-on expertise in Microsoft Azure: ADLS, ADF, Synapse, Azure SQL, Event Hub.
• Strong command of Databricks: Delta Lake, Unity Catalog, Delta Live Tables, MLflow.
• Proven expertise in Microsoft Purview and enterprise data governance - data quality, metadata, and lineage frameworks.
• Experience building AI-ready platforms using Azure OpenAI, Azure AI Search, RAG pipelines, Vector Databases, and GenAI frameworks.
• Solid engineering foundation in Python, PySpark, SQL, Spark, and ETL/ELT design.
• Familiarity with DevOps, CI/CD, and Infrastructure as Code in enterprise, security-conscious environments.
• Exposure to Microsoft Fabric, TOGAF, or Collibra.
• Should be able to create estimates and solutions as pre-sales activity.