Enterprise Data Architect
T-Soft Global Solutions
About the role
About T‑Soft Global Solutions
T‑Soft Global Solutions is a leader in delivering IT Consulting and Staffing Solutions tailored to drive innovation and digital transformation. Supporting businesses of all sizes, from startups to Fortune 500 companies, T-Soft specializes in areas such as Artificial Intelligence, Software Development, and Business Intelligence. With a team of skilled professionals and a global network, the company provides scalable cloud infrastructure, database services, and strategic IT consulting to help organizations overcome technology challenges and achieve sustainable growth. By aligning technology with business objectives, T-Soft Global Solutions empowers clients to stay ahead in an ever-evolving industry.
Role Description
This is a full-time on-site role located in Fairfax, VA, for an Enterprise Data Architect. The Enterprise Data Architect will be responsible for developing and implementing robust data architecture strategies, creating data governance frameworks, and overseeing data modeling to ensure alignment with organizational goals. This role also involves designing Extract, Transform, Load (ETL) processes, managing data warehousing initiatives, and collaborating with cross-functional teams to optimize data management practices and support decision-making processes.
Qualifications
- Strong expertise in Data Governance strategies and frameworks
- Experience in Data Architecture and designing scalable, efficient data systems
- Proficiency in Data Modeling to support business analytics and reporting needs
- Hands-on experience with Extract, Transform, Load (ETL) processes to facilitate seamless data integration
- Knowledge of Data Warehousing solutions for storage, retrieval, and analytics
- Exceptional problem-solving skills and the ability to work collaboratively with technical and non-technical stakeholders
- Bachelor’s degree (or equivalent work experience) in Computer Science, Information Systems, or a related field
- Preferred: Familiarity with cloud-based data solutions and advanced analytics tools
Skills
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