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# Data Architect / Engineer- Azure Fabric & AI Data Platform

- **Company:** Vish Consulting Services, Inc
- **Location:** Indianapolis, IN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Audit Trail, Microsoft Azure, Cloud Computing, Cloud Storage, Continuous Integration, Data as a Services, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Document Retrieval, Python (Programming Language), Laboratory Information Management Systems, PostgreSQL, OAuth, Cloud Services, Search Technologies, Unstructured Data, Enterprise Data Management, Enterprise Software Applications, Data Ingestion, Azure Data Factory, Sql Optimization, Large Language Models, Git, Data Layers, Data Lakes, Pyspark, Data Lineage, AWS Data Analytics, Cloud Integration, Api Design, Api Gateway, Restful APIs, VeevaVault, Data Pipelines, Api Management, GXP, Docker, Teamcenter (Software)
- **Published:** September 29, 2026
- **Apply:** https://www.dice.com/job-detail/50ee4176-f609-44e2-8f33-3ab56fbe7518

## About the Role

* 5+ years of Data Engineering experience.
 * Strong hands-on expertise in Azure Fabric and enterprise data platforms.
 * Experience with Python, PySpark, PostgreSQL, ETL/ELT, and API development.
 * Proven experience implementing AI/LLM-powered data solutions and RAG architectures.
 * Experience with AWS data services and cloud integrations.
 * Exposure to regulated environments (Life Sciences, Pharma, Medical Devices) is highly preferred.

Preferred

 * Pharma, Biotechnology, or Medical Device domain experience.
 * GxP, 21 CFR Part 11, and ALCOA+ knowledge.
 * Experience with Teamcenter, LabVantage LIMS, Veeva Vault/QDocs, or Darwin.
 * Azure Data Engineer and/or AWS Data Engineer Certification.

## Description

Seeking a hands-on Data Engineer to build scalable data pipelines, API integrations, AI-powered document ingestion solutions, and cloud-native data platforms using Microsoft Azure Fabric, PostgreSQL, Python, and AWS. The role focuses on structured and unstructured data ingestion, ETL/ELT development, LLM integration, and Medallion Architecture (Bronze/Silver/Gold)., * Build and maintain Azure Fabric data pipelines integrating laboratory, PLM, LIMS, and enterprise systems.

 * Develop API connectors, MCP integrations, and AI-driven document ingestion pipelines.
 * Implement Bronze, Silver, and Gold data layers with data quality controls and lineage tracking.
 * Integrate LLMs and vector search solutions for document retrieval and semantic search.
 * Design and optimize PostgreSQL schemas and scalable data models.
 * Deploy and support cloud-native solutions across Azure and AWS environments.
 * Ensure compliance with data governance, security, and audit requirements.

Mandatory Skills

 * Microsoft Azure Fabric (Lakehouse, Data Factory, Pipelines, Delta Lake)
 * Python & PySpark
 * ETL/ELT Pipeline Development
 * Azure Data Factory & Azure Blob Storage
 * PostgreSQL & Advanced SQL
 * Data Modeling & Medallion Architecture (Bronze/Silver/Gold)
 * REST APIs, OAuth, API Integrations
 * Azure OpenAI / OpenAI / Claude APIs
 * RAG, Vector Databases, Azure AI Search
 * Document Ingestion, OCR, Azure Document Intelligence
 * AWS (S3, Lambda, Glue, API Gateway, RDS/Aurora)
 * Docker, CI/CD, Git
 * Data Governance, Data Lineage, Audit Trails
 * ALCOA+ / GxP Compliance Knowledge