Platform Engineer

Responsibilities Design and build Delta Lake tables on Databricks (bronze/silver/gold medallion architecture) for financial datasets (AR, GL, invoices, collections) Build and manage Databricks Genie Spaces - configure semantic models, write GENIE-compatible SQL, and tune NL-to-SQL behavior for finance use cases Develop PySpark and Python-based data pipelines (Databricks Jobs + Workflows) for ERP data ingestion, transformation, and aggregation Integrate Databricks Model Serving with LLMs (Claude, GPT-4, or custom fine-tuned models) for AI-driven insights, anomaly detection, and financial forecasting Build RAG pipelines using Databricks Vector Search over financial documents, contracts, and GL notes Expose Databricks SQL Warehouse endpoints to Python API services and the React frontend Manage Unity Catalog governance - row-level security, column masking, data lineage for finance compliance Deploy infrastructure on AWS (S3 as Databricks external storage, IAM roles, VPC networking, Secrets Manager)

Required Skills

• Databricks (PySpark, Delta Lake, Jobs/Workflows, SQL Warehouses) - 3+ years
• Databricks Unity Catalog and governance
• Databricks Genie Spaces (semantic layer, NL analytics)
• Python 3.11+ for data engineering and API integration
• AWS (S3, IAM, VPC, Secrets Manager, optionally Lambda/Glue)
• LLM integration: Databricks Model Serving, MLflow, or direct API calls to Claude/OpenAI
• SQL (advanced - window functions, CTEs, query optimization)

For applications and inquiries, contact:View email address on us.fitly.work