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# Data Architect/Analyst (TS/SCI)

- **Company:** IBM
- **Location:** Annapolis Junction, MD, United States
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Component-Based Software Engineering, Big Data, Cyber Security, Data Architecture, Data Integration, Data Systems, Data Warehousing, Performance Tuning, Software Engineering, Systems Integration, Teradata SQL, Enterprise Software Applications, Snowflake, Data Management, Tools for Reporting
- **Published:** September 4, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3377292782&tx=CT3432THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Required technical and professional expertise

 * Exposure to Data Warehouse Development: Experience working with data management systems, including designing, developing, and integrating data warehouses using tools like Teradata, Snowflake, and analytics solutions.
 * Data Integration Expertise: Exposure to integrating software packages, programs, and reusable objects across various platforms to support data warehouse development.
 * Analytical Problem-Solving: Experience working with analytical and problem-solving skills to ensure the efficient and effective management of large-scale data systems.
 * Data Management Knowledge: Exposure to creating complex application components and utilizing tools like Teradata, Snowflake, and analytics solutions to build and maintain large-scale data systems.
 * Technical Issue Resolution: Experience working collaboratively to resolve technical issues related to data warehouse development and integration.
 * Security Clearance: Active TS/SCI is required
 * Active DoD 8570/8140 IAT Level II certification required (e.g., Security+ CE, CCNA Security, CySA+, GICSP, GSEC, or SSCP)

Preferred technical and professional experience

 * Proficiency in Analytics Tools: Exposure to utilizing analytics solutions to build and maintain large-scale data systems, ensuring efficient data management and integration.
 * Complex Application Development: Experience working with creating complex application components and integrating software packages, programs, and reusable objects across various platforms.
 * Data System Optimization: Exposure to monitoring and optimizing data systems to ensure efficient and effective management of large-scale data, identifying areas for improvement and implementing solutions.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

## Description

As a Data Architect/Analyst specializing in Data Warehouses, you will design, develop, and integrate data management systems, leveraging tools like Teradata, Snowflake, and analytics solutions. You will utilize your analytical and problem-solving skills to ensure the efficient and effective management of large-scale data systems.

Your primary responsibilities will include

 * Design Data Management Systems: Create complex application components and integrate software packages, programs, and reusable objects across various platforms to support data warehouse development.
 * Develop Data Warehouses: Utilize tools like Teradata, Snowflake, and analytics solutions to build and maintain large-scale data systems, ensuring efficient data management and integration.
 * Integrate Data Solutions: Apply analytical and problem-solving skills to integrate data management systems, resolving technical issues and optimizing system performance.
 * Ensure Data Efficiency: Monitor and optimize data systems to ensure efficient and effective management of large-scale data, identifying areas for improvement and implementing solutions.
 * Solve Technical Issues: Collaborate with teams to resolve technical issues related to data warehouse development and integration, applying analytical and problem-solving skills to ensure timely resolution.


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