Data Solutions Architect

IMR Soft, LLC
Billings, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Billings, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Azure
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
Data Security
Data Warehousing
Software Design Patterns
Systems Analysis
Meta-Data Management
Performance Tuning
Power BI
DataOps
Azure
Search Technologies
Enterprise Data Management
Data Ingestion
Azure
Microsoft Fabric
Data Lake
Information Technology
Data Management
Stream Analytics
Databricks

Job description

· Define end-to-end architecture leveraging Microsoft Fabric, Azure Data Platform and Azure AI Services. · Lead solution design across Data Engineering, Data Science, BI and AI workloads. · Architect Fabric components including OneLake, Data Factory, Lakehouse, Warehouse, Real-Time Analytics and Power BI. · Define AI strategy using Azure OpenAI Service, Azure AI Search, Azure AI Document Intelligence, Azure AI Foundry, Microsoft Foundry and Azure Machine Learning. · Ensure compliance with banking regulations, security, governance and risk management requirements. · Drive stakeholder engagement and align technology solutions with business objectives. · Provide architecture governance and technical leadership throughout delivery lifecycle.

Requirements

  • Strong understanding of Banking & Financial Services data domains such as Customer 360, Risk, Compliance, Fraud, Treasury, Lending and Regulatory Reporting.

  • 12-16 years of overall IT experience

  • 12-15 + years of hands-on experience designing Modern Data Platforms including:

  • Data Ingestion & Pipelines
  • Data Lakes / Lakehouse / Data Warehouses
  • Business Intelligence & Advanced Analytics
  • Strong experience with Microsoft Fabric components including:
  • Fabric OneLake
  • Fabric Pipelines
  • Fabric Notebooks
  • Hands-on expertise with Azure Data Factory, Azure Databricks, dbt and other Azure data services
  • Proven experience in Banking & Financial Services analytics use case analysis, source system analysis and data quality assessment. Experience with Fiserv Core platforms is a big advantage
  • Experience working with large-scale enterprise data platforms, high-volume datasets and analytical models
  • Strong understanding of Data Management principles:
  • Data Governance
  • Data Cataloging & Metadata Management
  • Data Security & Privacy
  • Master Data Management (MDM)
  • Familiarity with Modern Data Platform principles:
  • DataOps & CI/CD
  • Performance Optimization
  • Reliability, Scalability and Security
  • Strong knowledge of data architecture styles and design patterns
  • Experience leading Discovery & Design workshops with Banking & Financial Services business and IT stakeholders
  • Proven Expertise in implementing AI solutions to customers
  • Experience collaborating with onshore and offshore delivery teams
  • Hands-on experience with Agile delivery models and Azure DevOps
  • Excellent communication, presentation and stakeholder management skills

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