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The Role
Lead IT project management and application support focused on Azure environments. Support enterprise data engineering (Databricks, PySpark, Spark SQL), optimize data storage, analyze databases, implement Azure modernization, build PDF ingestion and extraction pipelines, deploy vector search and LLM-based chatbots, support SQL Server and platforms (ShareFile, Tableau, Drupal, Acquia, OnContact), and collaborate across divisions while producing technical documentation.
Summary Generated by Built In
Desired Qualifications
- Experience in IT project management roles
- Experience in IT application support roles
- Experience supporting applications in Microsoft Azure and/or administering environments in Microsoft Azure
- Experience in data storage optimization
- Experience in database analysis
- Experience in Azure modernization support
- Azure administrator certification
- Experience supporting and troubleshooting Microsoft SQL databases
- Experience with ShareFile
- Experience with Tableau
- Experience with Drupal
- Experience with Acquia
- Experience with OnContact
- Cloud & Azure
• Experience delivering solutions on Microsoft Azure
• Experience implementing Azure networking, computing, and security best practices
• Experience implementing Azure Data Lake Storage (ADLS Gen2) and Delta Lake
• Experience managing Azure SQL, storage accounts, Data Lake, and Azure migration tooling
• Experience using Azure Key Vault, Azure Monitor, and Log Analytics in enterprise environments
• Azure Administrator-level certification and/or experience - Databricks & Enterprise Data Engineering
• Experience implementing and supporting Azure Databricks (clusters, workflows, notebooks, jobs)
• Experience delivering Databricks-based data engineering solutions at enterprise scale
• Experience implementing PySpark and Spark SQL pipelines
• Experience in large-scale data architecture and data storage analysis - PDF Extraction & Document Processing Solutions
• Experience delivering document‑extraction solutions using Azure Document Intelligence
• Experience building and/or integrating PDF ingestion pipelines using PyPDF2, pdfplumber, PDF.js, or equivalent tools
• Experience implementing OCR processing of scanned PDFs
• Experience in large‑scale PDF text pre‑processing, chunking, and transformation for LLM retrieval - Vector Search & Embedding Infrastructure
• Experience converting unstructured document content into embeddings for downstream LLM use
• Experience deploying vector search solutions using Azure AI Search
• Experience implementing and managing vector databases such as Pinecone, Weaviate, or Chroma - Chatbot / Generative AI Solution Delivery
• Experience designing, building, and maintaining enterprise chatbots that use PDF documents as primary content sources
• Experience deploying chatbots using LLMs (Azure OpenAI, OpenAI, Hugging Face, or similar platforms)
• Experience implementing Retrieval‑Augmented Generation (RAG)
• Experience designing conversational flows and performing prompt optimization at scale
• Experience developing APIs or back‑end integrations connecting LLMs with vector stores and document repositories
• Experience using frameworks such as LangChain, Semantic Kernel, or equivalent enterprise tooling
• Experience monitoring, validating, and optimizing chatbot response quality - Platform & Application Support
• Experience supporting Microsoft SQL Server
• Experience supporting enterprise platforms such as ShareFile, Tableau, Drupal, Acquia, and OnContact - Business Analysis & Multi‑Division Collaboration
• Experience leading requirements gathering across technical and non‑technical stakeholder groups
• Experience working within complex, multi‑division organizations with diverse levels of data maturity - Experience delivering technical documentation and/or providing technical communication
- Five (5) years’ experience in IT project management roles
- Two (2) engagements lasting at least six (6) months each in IT project management roles
- Two (2) engagements lasting at least six (6) months each in IT application support roles
- Two (2) years’ combined experience supporting applications in Microsoft Azure and/or administering environments in Microsoft Azure
- Two (2) years’ experience in data storage optimization
- Two (2) years’ experience in database analysis
- Two (2) years’ experience in Azure modernization support
Skills Required
- Five (5) years' experience in IT project management roles
- Two (2) engagements lasting at least six (6) months each in IT project management roles
- Two (2) engagements lasting at least six (6) months each in IT application support roles
- Two (2) years' combined experience supporting applications in Microsoft Azure and/or administering environments in Microsoft Azure
- Two (2) years' experience in data storage optimization
- Two (2) years' experience in database analysis
- Two (2) years' experience in Azure modernization support
- Experience in IT application support roles
- Experience supporting applications in Microsoft Azure and/or administering environments in Microsoft Azure
- Azure administrator certification
- Experience supporting and troubleshooting Microsoft SQL databases
- Experience with ShareFile
- Experience with Tableau
- Experience with Drupal
- Experience with Acquia
- Experience with OnContact
- Experience delivering solutions on Microsoft Azure and implementing Azure networking, compute, and security best practices
- Experience implementing Azure Data Lake Storage (ADLS Gen2) and Delta Lake
- Experience managing Azure SQL, storage accounts, Data Lake, and Azure migration tooling
- Experience using Azure Key Vault, Azure Monitor, and Log Analytics in enterprise environments
- Experience implementing and supporting Azure Databricks (clusters, workflows, notebooks, jobs)
- Experience delivering Databricks-based data engineering solutions at enterprise scale
- Experience implementing PySpark and Spark SQL pipelines
- Experience delivering document-extraction solutions using Azure Document Intelligence
- Experience building/integrating PDF ingestion pipelines using PyPDF2, pdfplumber, PDF.js, or equivalent tools
- Experience implementing OCR processing of scanned PDFs
- Experience in large-scale PDF text pre-processing, chunking, and transformation for LLM retrieval
- Experience converting unstructured document content into embeddings for downstream LLM use
- Experience deploying vector search solutions using Azure AI Search
- Experience implementing and managing vector databases such as Pinecone, Weaviate, or Chroma
- Experience designing, building, and maintaining enterprise chatbots that use PDF documents as primary content sources
- Experience deploying chatbots using LLMs (Azure OpenAI, OpenAI, Hugging Face, or similar)
- Experience implementing Retrieval-Augmented Generation (RAG)
- Experience designing conversational flows and performing prompt optimization at scale
- Experience developing APIs or back-end integrations connecting LLMs with vector stores and document repositories
- Experience using frameworks such as LangChain, Semantic Kernel, or equivalent enterprise tooling
- Experience monitoring, validating, and optimizing chatbot response quality
- Experience leading requirements gathering across technical and non-technical stakeholder groups
- Experience working within complex, multi-division organizations with diverse levels of data maturity
- Experience delivering technical documentation and/or providing technical communication
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The Company
What We Do
For 25 years, Lawinger Consulting, Inc., has provided innovative IT solutions to help our clients thrive • Our clients range from Fortune 500 companies (General Mills, 3M, Lifetouch, Medtronic, State of Minnesota & others) seeking global team partnerships to small businesses requiring inexpensive, low-maintenance solutions. We provide Staffing Services in the following areas: • Managed Services - supporting applications on a wide variety of platforms • Custom Application Development in.NET / Java / Javascript / Ruby on Rails • Business Analysis / Project Management • Quality Assurance / Software Testing - Manual and Automated approaches • Our industries include manufacturing, financial services, government and nonprofits. • Our hardware engineers are experts in configuring systems on Windows, Unix, Linux and mainframe platforms. Why do so many clients work with LCI? • We listen to our clients needs • We analyze their applications and infrastructure to understand their current state • Based on that analysis, we offer creative, effective IT solutions • We understand the importance of cost containment • We approach every client with the intent on building a long-term relationship
