Applications & Data Architect
Creative Financial StaffingDetroit, MI, US30+ days ago
Salary
$150,000.00–$200,000.00 yearly
Job descriptionExtensive experience in application / data architecture and engineering. A minimum of 10 years of experience in a developer role Proficient in data management, database design, governance, and quality management. Expertise in Microsoft development (SQL Server, .NET Core, C#, Azure). Skilled in C#, React, JavaScript, Typescript, and similar languages. Experienced with PowerShell, REST, JSON, Power Platform, Microsoft Dataverse. Familiar with cloud platforms (Azure, SharePoint Online, Microsoft Graph). Knowledgeable in ETL tools and data integration (Azure Synapse, Azure Data Factory). Preferred bachelor’s degree in computer science or equivalent, Microsoft Azure Developer Associate (AZ-204) Bachelor’s degree in computer science or equivalent Microsoft Azure Developer Associate (AZ-204)
Position : Applications & Data Architect
Type : Full-time / Permanent
Salary : $150,000-$200,000
Location : Remote
Position Overview : The Cloud Data Platform Administrator Senior will be part of the Cloud Data Platform team within the Enterprise Data Services department. This role is responsible for coordinating operational tasks among Cloud Data Platform Leadership, Engineering, Analytics teams, and customers. The position involves leveraging software engineering principles to automate data infrastructure operations, managing Azure Data Infrastructure and Services, and administering the Snowflake data platform with a focus on security and efficiency.
Responsibilities :
- Design, develop, and sustain software applications (custom solutions, Office Add-ins, SSIS packages, SPFx web parts).
- Generate custom PowerShell scripts and SQL queries.
- Architect scalable, maintainable applications and detailed designs.
- Create and manage efficient ETL processes; improve data pipelines.
- Implement secure data storage solutions.
- Build and maintain cloud-based data infrastructure.
- Develop scalable data architectures (warehouses, lakes, databases).
- Enforce data modeling, governance, and quality standards.
- Ensure data integrity across systems; assess data management tools.
Required Skills :
Preferred Education :