Job Description
Position : Data Architect
Location : Cary, NC (Onsite - Hybrid)
Duration : Full Time
Mandatory Skills - Must-Have
- Python, PySpark, Scala and SQL - strong production-level data engineering skills.
- Azure Databricks - Delta Lake, Spark performance tuning, Jobs/Workflows and Unity Catalog.
- Azure data services - ADLS Gen2 and Azure Data Factory (ADF).
- Lakehouse / Medallion Architecture - proven experience implementing Bronze, Silver and Gold layers at enterprise scale.
- Data Pipeline Engineering - metadata-driven ingestion frameworks, data transformation, data quality and large-scale pipeline optimization.
- Production AI/LLM Experience - hands-on experience designing and deploying LLM-based solutions, including RAG, embeddings, retrieval and prompt engineering.
- LLM Frameworks - experience with LangChain, LlamaIndex or LangGraph, plus Azure OpenAI, OpenAI or Databricks Model Serving.
- Azure DevOps / CI-CD - experience automating data pipeline deployments; Terraform and Databricks Asset Bundles are highly relevant.
- Technical Leadership - ability to design solutions, write production code, review code and guide data engineering teams.
- Financial services or insurance data, especially financial reconciliation, general ledger or accounting data.
- AI-driven data quality, anomaly detection and automated reconciliation.
- Knowledge graphs, ontologies, semantic layers or enterprise Text-to-SQL solutions.
- Azure security, data governance, PII protection and fine-grained access controls.
- MLOps/LLMOps, model evaluation and production AI monitoring.