Find & Apply For Database Architect Jobs In Forsyth, North Carolina
Database Architect jobs in Forsyth, North Carolina involve designing and building database systems, analyzing data requirements, and ensuring data security. Responsibilities include creating data models, optimizing database performance, and collaborating with developers and data analysts. Strong knowledge of database management systems and programming languages is essential for this role. Below you can find different Database Architect positions in Forsyth, North Carolina.
Jobs in Forsyth
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Manager (Tech Lead), Data and Integration
KPMG
Forsyth, NC
Data Manager | 2025-2026 School Year
Winston-Salem/Forsyth County Schools
Forsyth, NC
Data Manager | 2025-2026 School Year
West Forsyth High
Forsyth, NC
Manager, Data Operations
KPMG
Forsyth, NC
Latest Jobs in Forsyth
Salary Information & Job Trends In this Region
Database Architects in Forsyth, North Carolina play a critical role in designing and maintaining the structural frameworks that manage data for businesses and organizations. - Entry-level Database Architect salaries range from $55,000 to $70,000 per year - Mid-career Database Architect salaries range from $75,000 to $95,000 per year - Senior Database Architect salaries range from $100,000 to $130,000 per year The profession of Database Architecture in Forsyth has roots in the early days of computer science when businesses began to realize the importance of efficiently organizing data for analysis and decision-making. Over the years, Database Architecture in Forsyth has evolved from simple database designs to complex systems that support massive amounts of real-time data transactions and storage. This evolution has been driven by advances in technology and increasing demands for scalable and secure data storage solutions. Current trends in Database Architecture in Forsyth include the use of cloud computing platforms, big data technologies, and machine learning to enhance the capabilities of database systems. These trends reflect a growing need for more dynamic and adaptable data management strategies to support diverse and data-intensive applications.