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.