Job Description

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Principal Microsoft Data & AI Engineer in Minneapolis, MN, Irving, TX, or Charlotte NC. (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 18 Months

Required Skills & Experience

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
7+ years of progressively responsible experience in data engineering, database engineering, analytics
engineering, data integration, or a related discipline.
Advanced hands-on Microsoft SQL Server and complex SQL development experience.
Experience designing and delivering reusable ETL or ELT pipelines.
Hands-on Microsoft Fabric experience or strong experience with a comparable modern cloud data
platform.
Strong knowledge of relational, dimensional, semantic, and analytical data modeling.
Experience designing enterprise data models using repository-driven standards and Medallion
methodology to create governed, high-quality, analytics-ready data assets.
Experience integrating enterprise data with nonstandard sources such as Excel, files, APIs,
email-delivered data, exported reports, or authorized website data.
Demonstrated data profiling, validation, reconciliation, and data quality problem-solving experience.
Advanced Excel skills, including Power Query, data models, PivotTables, advanced formulas, and external data connections.
Experience preparing data for Power BI, Excel, human analysts, or AI-assisted analytical workflows.
Working knowledge of source control, code review, testing, release management, and production support.
Strong communication skills and the ability to explain technical designs, assumptions, limitations, and
findings to nontechnical stakeholders.
Ability to work independently and manage ambiguity in a complex, regulated enterprise environment.
AI Experience
Candidates should have practical, work-related experience with one or more AI-assisted engineering or
productivity tools, such as Microsoft 365 Copilot, GitHub Copilot, Claude Code, Microsoft Cowork, Devin,
Visual Studio Code with approved AI extensions, or other enterprise-approved LLM tools.
Developing and refining prompts for data discovery, analysis, SQL generation, testing, documentation,
and interpretation of results.
Providing schema context, definitions, examples, constraints, and expected output formats within
prompts.
Validating AI-generated SQL, calculations, code, summaries, and analytical conclusions.
Recognizing hallucinations, unsupported conclusions, incorrect assumptions, and data leakage risk.
Creating repeatable prompt templates or AI-assisted workflows that improve analyst productivity.

Desired Skills & Experience

Business Intelligence & Reporting
Advanced MS Excel
Artificial Intelligence (AI)
Azure Databricks
Data Modeling
Microsoft Fabric Components
Power bi fabric
SQL
Microsoft Fabric Lakehouse, Warehouse, Data Factory, Dataflows Gen2, notebooks, or semantic model
experience.
Azure SQL, Azure Data Lake Storage, Azure Data Factory, or related Azure data services.
Python, PySpark, PowerShell, or another data transformation and automation language.
Power BI experience, including semantic models, DAX, Power Query, performance optimization, and
executive reporting.
Power Apps or Power Automate experience.
Databricks, Delta Lake, Spark, medallion architecture, or comparable lakehouse experience.
Experience supporting both traditional business intelligence and AI-based analysis.
Experience with APIs, JSON, XML, HTML parsing, browser automation, or approved web data extraction.
Experience working with confidential or sensitive data in a regulated environment.
GitHub, Azure DevOps, ServiceNow, CI/CD, or automated testing experience.

What You Will Be Doing

Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering.
Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking.
Provide expertise to client senior leadership on innovative Engineering business solutions.
Strategically engage with client personnel.
Design, build, test, deploy, and support scalable data ingestion, transformation, and integration
solutions using Microsoft SQL Server and Microsoft Fabric.
Develop reusable ETL and ELT processes that move data from authorized enterprise systems into
governed analytical data stores and semantic models.
Write and optimize advanced SQL, including complex queries, stored procedures, views,
transformations, and performance-tuned processing routines.
Design relational, dimensional, semantic, and analytical data models that support Power BI, Excel,
human analysis, and approved AI-assisted analysis
Design enterprise data models using repository-driven standards and Medallion methodology to deliver
governed, high-quality, analytics-ready data assets.
Integrate structured, semi-structured, and unstructured data from databases, Excel, CSV files,
email-delivered files, APIs, exported reports, and authorized web-based sources.
Create controlled, repeatable processes for nonstandard data sources with validation, reconciliation,
traceability, and error handling.
Profile data, identify quality issues, determine root causes, and implement remediation or monitoring
controls.
Build curated, analysis-ready datasets and semantic models for Power BI, Excel, analysts, and approved
AI tools.
Use approved generative AI tools to assist with data analysis, SQL and code development,
documentation, testing, troubleshooting, and prompt-based workflows.
Validate AI-generated SQL, code, calculations, summaries, and analytical conclusions before use.
Translate business and analytical needs into clear data requirements, technical designs, and usable
data products.
Follow applicable data governance, privacy, information security, risk, and compliance requirements.

Skills

Analysis Skillsunmatched

Application Programming Interface (API)unmatched

Artificial Intelligence (AI)unmatched

Automationunmatched

Business Intelligenceunmatched

Business Solutionsunmatched

Cloud Computingunmatched

Code Reviewsunmatched

Communication Skillsunmatched

Consultingunmatched

Continuous Deployment/Deliveryunmatched

Continuous Integrationunmatched

Customer Satisfactionunmatched

Data Analysisunmatched

Data Lakeunmatched

Data Modelingunmatched

Data Processingunmatched

Data Profilingunmatched

Data Qualityunmatched

Data Storageunmatched

Data Warehousingunmatched

Database Analysisunmatched

Database Extract Transform and Load (ETL)unmatched

Database Programmingunmatched

DevOpsunmatched

Documentationunmatched

Enterprise Data Integrationunmatched

Error Handlingunmatched

Financial Servicesunmatched

GitHubunmatched

HTML (HyperText Markup Language)unmatched

Identify Issuesunmatched

JSONunmatched

Leadershipunmatched

Microsoft Excelunmatched

Microsoft Product Familyunmatched

Microsoft SQL Serverunmatched

Microsoft Visual Studiounmatched

Microsoft Windows Azureunmatched

Performance Tuning/Optimizationunmatched

Power BIunmatched

Problem Solving Skillsunmatched

Production Supportunmatched

Productivity Managementunmatched

Python Programming/Scripting Languageunmatched

Query Optimizationunmatched

Reconciliationunmatched

Release Management/Engineeringunmatched

Root Cause Analysisunmatched

SQL (Structured Query Language)unmatched

ServiceNowunmatched

Source Code/Configuration Management (SCM)unmatched

Stored Proceduresunmatched

Structured Dataunmatched

Technical/Engineering Designunmatched

Test Automationunmatched

Testingunmatched

Traceabilityunmatched

Training Data Setsunmatched

Unstructured Dataunmatched

Web Browsersunmatched

Windows PowerShellunmatched

Workflow Analysisunmatched

XML (EXtensible Markup Language)unmatched

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Principal AI Architect

Saint Paul, MN

Remote

$130–$146
Actively Hiring

4 days ago

Principal Microsoft Data & AI Engineer

Job Description

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Principal AI Architect