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Data Architect - Cary, NC // Fulltime // H1B/GC/USC
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Role: Data Architect
Location: Cary, NC
Work Model: Day 1 onsite; hybrid schedule, Tuesday Thursday onsite
Experience: 10 15 years
Employment: Full-time
Location: Cary, NC
Work Model: Day 1 onsite; hybrid schedule, Tuesday Thursday onsite
Experience: 10 15 years
Employment: Full-time
- Visa Requirements
- Visa-independent candidates:
- H-1B transfer candidates:
- H-1B transfer candidates must be able to start upon receipt of the H-1B transfer receipt notice and minimum 2 years of Gap in 6 Years of H1-B.
- Day 1 onsite is mandatory. Candidates must be available to work onsite in Cary, NC, Tuesday through Thursday.
- Candidates must be comfortable with the stated compensation range and onsite requirements before submission.
- 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.
