IT Project Management, Application Support, and Data
$145,600–$166,400 year
On-site · Saint Paul, Minnesota, United States
Job Summary
IT Project Management, Application Support, and Data roles focused on Azure-based solutions, Databricks, document-extraction pipelines, and AI-enabled retrieval systems. Responsibilities span delivering PM and technical support across Azure environments, building and optimizing data storage and pipelines, implementing OCR and PDF ingestion, developing embedding-based search and vector databases, delivering enterprise chatbot solutions using LLMs, and maintaining SQL Server and enterprise platforms (ShareFile, Tableau, Drupal, Acquia, OnContact). Required experience includes multiple six-month IT project management and IT application support engagements, five years in IT PM, two years in Azure administration/modernization, data storage optimization, and database analysis, plus Azure-native certifications, SQL Server support, and experience with the listed tools and platforms.
Required Qualifications
- 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
- 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 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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