Principal Software Developer – Data Architect

📋 Description Lead enterprise data platform architecture and modernization. Define AI-Ready data platform strategy and lakehouse patterns. Establish reference architectures, standards, and guardrails. Mentor teams on AI-assisted workflows, data quality. Oversee data layer re-architecture for Sherlock products. Drive data observability, lineage, and governance. 🎯 Requirements 10+ years in software and data engineering; 5+ in leadership. Deep AWS data platform design: lakehouse, medallion, ETL/ELT. Hands-on AI tooling to improve architecture and workflows. Hands-on with MongoDB, DocumentDB, MS SQL Server, DynamoDB, Redis/Valkey. AWS data services: S3, Athena, Glue Catalog, Lake Formation, EMR, Iceberg. Experience with governance, security, and data contracts. 🎁 Benefits Innovation with cutting-edge tech in accounting software. Collaborative, inclusive culture with knowledge sharing. Flexible work options and strong work-life balance. Competitive compensation and comprehensive benefits. Impactful work shaping clients' financial processes.