What are the responsibilities and job description for the Data Solutions Architect position at IMR Soft LLC?
Role: Data Solutions Architect
Location: Remote (Billings Montana)
Duration: long Term
Experience : 15 years
Job Description:
Must-Have Skills
- 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
Key Responsibilities :
· 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.