What are the responsibilities and job description for the Enterprise Data Architect position at GVR Infotek LLC?
Company Description GVR Infotek LLC is a Texas-based IT staffing and consulting firm specializing in highly skilled, timely, and cost-effective staffing solutions and offshore software development services. The company is committed to attracting, retaining, and rewarding top industry talent, offering professionals opportunities to grow and advance their careers. GVR Infotek fosters a culture built on honesty, reliability, and pride, and focuses on maintaining a motivated and satisfied workforce. With deep experience across industries such as healthcare, pharmaceuticals, banking and financial services, and telecommunications, GVR Infotek enables clients to improve reliability and agility. The organization is dedicated to delivering high-quality services quickly, helping customers achieve a sustainable competitive advantage.
Role Description The Enterprise Data Architect is a full-time, on-site role based in Sacramento, CA. This role is responsible for defining and maintaining the enterprise data architecture, including data models, data flow diagrams, and integration patterns across multiple systems and platforms. The Enterprise Data Architect collaborates with business and technology stakeholders to understand data requirements, translate them into scalable solutions, and ensure alignment with organizational strategy and governance standards. Daily activities include assessing existing data environments, designing data warehouses and data lakes, establishing data quality and metadata standards, and guiding teams on best practices for data integration, security, and performance. The role also involves documenting architectural decisions, mentoring development and analytics teams, and supporting ongoing optimization of data assets to meet evolving business needs.
Qualifications
Role Description The Enterprise Data Architect is a full-time, on-site role based in Sacramento, CA. This role is responsible for defining and maintaining the enterprise data architecture, including data models, data flow diagrams, and integration patterns across multiple systems and platforms. The Enterprise Data Architect collaborates with business and technology stakeholders to understand data requirements, translate them into scalable solutions, and ensure alignment with organizational strategy and governance standards. Daily activities include assessing existing data environments, designing data warehouses and data lakes, establishing data quality and metadata standards, and guiding teams on best practices for data integration, security, and performance. The role also involves documenting architectural decisions, mentoring development and analytics teams, and supporting ongoing optimization of data assets to meet evolving business needs.
Qualifications
- Experience with enterprise data architecture, including data modeling, data warehousing, and data integration across complex environments.
- Proficiency in modern data platforms and technologies (e.g., relational databases, cloud data services such as AWS, Azure, or GCP, and ETL/ELT tools).
- Knowledge of data governance, data quality management, and metadata standards, with the ability to implement policies and frameworks.
- Strong analytical and problem-solving skills, with experience translating business requirements into scalable, secure, and efficient data solutions.
- Ability to collaborate with cross-functional teams, communicate architectural concepts clearly, and provide technical leadership and guidance.
- Familiarity with industry best practices in information security and regulatory compliance related to data (such as HIPAA, PCI, or similar frameworks), especially in sectors like healthcare, financial services, or telecommunications.
- Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field; advanced degree or relevant certifications (e.g., data architecture, cloud, or database certifications) are beneficial.
- Prior experience in a consulting or client-facing environment and background in IT staffing or services organizations is a plus.