IT Project Management, Application Support, and Data

LCI-Lawinger Consulting•Saint Paul, MN

10d

About The Position

This role focuses on IT Project Management, Application Support, and Data. The ideal candidate will have experience in IT project management, IT application support, and supporting applications within Microsoft Azure. Responsibilities include optimizing data storage, database analysis, and supporting Azure modernization efforts. Experience with specific tools and platforms like Azure, Databricks, PDF extraction, vector search, and generative AI solutions is highly valued.

Requirements

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.

Nice To Haves

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.
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.
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.
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.
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 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.
Experience supporting Microsoft SQL Server.
Experience supporting enterprise platforms such as ShareFile, Tableau, Drupal, Acquia, and OnContact.
Experience working within complex, multi‑division organizations with diverse levels of data maturity.

Responsibilities

Manage IT projects from initiation to completion.
Provide application support for enterprise systems.
Support and administer environments in Microsoft Azure.
Optimize data storage solutions.
Perform database analysis.
Support Azure modernization initiatives.
Support and troubleshoot Microsoft SQL databases.
Support enterprise platforms such as ShareFile, Tableau, Drupal, Acquia, and OnContact.
Lead requirements gathering across technical and non-technical stakeholder groups.
Collaborate within complex, multi-division organizations.
Deliver technical documentation and provide technical communication.