Principal Data Architect

Job Summary We are seeking a Principal Data Architect to lead the design and implementation of enterprise-scale cloud data and AI platforms. The role will drive data architecture, lakehouse platforms, AI/ML solutions, data governance, and technical strategy across complex enterprise environments. Key Responsibilities Design enterprise data & AI architecture and cloud data platforms. Lead Databricks Lakehouse, Delta Lake, DLT, and Unity Catalog implementations. Develop scalable ETL/ELT, data engineering, and data modeling solutions. Design AI/ML, GenAI, and MLOps platforms and production solutions. Implement data governance, quality, security, lineage, and access controls. Lead cloud platforms across Azure and AWS. Design real-time data solutions using Kafka, Azure Event Hub, and Spark Streaming. Drive CI/CD, DevOps, and cloud cost optimization for data platforms. Provide technical leadership and mentoring to data engineers, ML engineers, and data scientists. Engage stakeholders to define technology roadmaps, solution architecture, and delivery plans. Requirements 15+ years' experience in data architecture, data engineering, or enterprise architecture. Strong experience with Databricks, Azure/AWS, PySpark, Python, and SQL. Expertise in Lakehouse, Data Warehousing, ETL/ELT, and Data Modelling. Experience with AI/ML, GenAI, LLM, MLOps, and MLflow. Strong knowledge of data governance, data quality, security, and privacy. Experience with Kafka/Azure Event Hub, CI/CD, and DevOps. Strong technical leadership and stakeholder management skills. Preferred: Databricks certifications, DAMA-DMBOK, PMP, Power BI/Tableau/Qlik experience.