American Express is looking to architect and engineer data access security controls to manage, monitor, measure, and report the data access security posture of the organization’s data estate, specifically controlling access to semi-structured and unstructured data hosted on distributed servers, cloud, storage, file systems, file shares and collaboration repositories.
Requirements
- Strong experience using Microsoft Graph data connect
- Experience with Microsoft Fabric, Azure Synapse, and Azure Data Factory.
- Expertise in data pipelines, ETL/ELT processes, database management (SQL and NoSQL)
- Power App / Power Automate experience automating workflows in M365 preferred.
- Strong programming skills in languages like Python, C, PowerShell or Java.
- Familiarity with Azure services and cloud-based data storage and processing.
- Experience building and deploying autonomous AI agents.
Responsibilities
- Develop and manage pipelines to extract, transform, and load (ETL) Microsoft 365 data into Azure data stores.
- Use Microsoft Graph Data connect to aggregate SharePoint permissions, store data in Azure storage and create analytics dashboard using Power BI.
- Create data pipelines using Azure Synapse.
- Collaborating with data scientists and other teams to deploy and scale M365 access security models.
- Build and integrate AI Agents into access attestation solutions
- Combining data engineering skills with knowledge of AI/ML algorithms to build intelligent Access review systems.
- Integrate data from various sources (APIs, logs, third-party systems) into centralized repositories.
Other
- Bachelor’s degree in computer science, Data Science, AI, or a related field
- 6+ Years of hands-on experience.
- Shares critical expertise and knowledge to support team
- Uses breakthrough thinking to generate insights, alternatives and opportunities to prevent attacks
- Communications
- Teamwork
