IT - Practice Manager - IT Service, Support and Operations | Program Management | Organization Change Management

About the Role

Bravens Inc., a wholly owned subsidiary of Ampcus Inc., is seeking a highly motivated Senior Data Engineer to join our team in Minnetonka, MN. This role focuses on leveraging Azure Databricks, PySpark, and Generative AI technologies to design, build, and maintain scalable data solutions.

Responsibilities

• Design, build, and maintain scalable, secure, and high-performance batch and streaming data pipelines using modern data engineering practices.
• Lead the modernization and migration of on-premise data platforms to cloud-native architectures, managing infrastructure, networking, security, and deployment pipelines.
• Develop and maintain core data platform components for reliable data ingestion, transformation, enrichment, and consumption.
• Collaborate with data domain experts across Operations, Product, Finance, Value Analytics, and other domains to understand data sources and design efficient, connected data models.
• Ensure data accuracy, quality, relevance, and governance through validation, monitoring, documentation, and security controls.
• Analyze large datasets to identify trends, patterns, and actionable insights; support analytics, AI use cases, and business strategy.
• Enable reporting and analytics by providing curated, trusted datasets to BI and downstream consumers.
• Partner with AI/ML Engineers to design, build, and improve machine learning models, including experimentation with novel ML and Generative AI architectures.
• Contribute to the design and implementation of AI-powered enterprise applications.
• Build and integrate AI capabilities such as conversational assistants, intelligent search, summarization, content generation, and workflow automation into business applications.
• Implement secure, reliable, and high-performing software solutions while adhering to enterprise architecture, compliance, and governance standards.
• Drive continuous improvement through automation, AI-assisted development practices, code quality enhancements, and operational excellence initiatives.

Requirements

• 6 to 8 years of experience in data engineering and software development.
• 1+ year of experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, and Prompt Engineering.
• Experience developing AI-driven solutions using GitHub Copilot, Microsoft 365 Copilot, Azure AI Studio, and enterprise GenAI platforms.
• Experience with the healthcare domain.

Qualifications

• Proficiency in Azure Databricks, PySpark, and Python.
• Strong knowledge of Generative AI technologies, including LLMs, RAG, AI Agents, Vector Databases, and Prompt Engineering.
• Experience with .NET is a plus.

Skills

• Azure Databricks
• PySpark
• Python
• Generative AI (LLMs, RAG, AI Agents, Vector Databases, Prompt Engineering)
• .NET (Nice to Have)