Jobs → Data & Analytics → Principal Data Architect

About the Role We are looking for a Principal Data Architect to own enterprise-scale data platforms end to end, from modeling and lakehouse design through governance and AI-ready data layers. Key Responsibilities • Architect lakehouse and/or data mesh platforms on Databricks, Delta Lake, Snowflake, Kafka and Spark Structured Streaming • Lead dimensional, normalized and Data Vault modeling, with sound judgment on grain and conformance • Own data governance, quality, master data, metadata and lineage, including the operating model • Drive SQL performance engineering: query optimization, partitioning, clustering and cost management at scale • Lead migrations of legacy on-prem warehouses and ETL estates to cloud-native platforms (AWS, Azure) • Architect data for ML and AI: feature pipelines, training data curation, and retrieval/vector layers • Secure data and keep it compliant in regulated environments Requirements • 15+ years in data engineering and architecture, owning enterprise platforms • Expert in SQL, Python, PySpark, Databricks, Delta Lake, Snowflake and Kafka • Strong AWS (S3, Glue, Redshift, Kinesis, EKS, Lambda), Airflow, Terraform and Git-based CI/CD • Regulated-industry experience (financial services, payments, cybersecurity or healthcare) • BS/MS in Computer Science, Information Systems, Data Engineering or a related field