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Data Architect/Analyst (TS/SCI)
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$87,199 / year median in Maryland
+19% projected growth
Job Description
Job Requirements Annapolis, MD Top Secret/SCI Polygraph Unspecified Career Level not specified Salary not specified Join Premium to unlock estimated salaries Job Description A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your role and responsibilities 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:
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Design Data Management Systems:
Create complex application components and integrate software packages, programs, and reusable objects across various platforms to support data warehouse development.
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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.
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Integrate Data Solutions:
Apply analytical and problem-solving skills to integrate data management systems, resolving technical issues and optimizing system performance.
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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.
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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.
•This person will be required to come into the Fort Meade, MD office 5 days a week Required education High School Diploma/GED Preferred education Bachelor's Degree 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.
group id:
90615168 Apply now