Find & Apply For Database Architect Jobs In Cumberland, North Carolina
Database Architect jobs in Cumberland, North Carolina involve designing, building, and maintaining databases to ensure efficiency and data integrity. Responsibilities include analyzing user requirements, defining database structures, and implementing security measures. Database Architects collaborate with IT teams to optimize database performance and troubleshoot issues. Below you can find different Database Architect positions in Cumberland, North Carolina.
Jobs in Cumberland
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.
Assistant Manager(05518) – 5133 Raeford Rd
Domino's Pizza
Cumberland, NC
24/25 Data Manager II (100% 12 month) 400039
Cumberland County Schools
Cumberland, NC
24/25 Data Manager II (100% 12 month) 400039
Cumberland County School District
Cumberland, NC
Latest Jobs in Cumberland
Salary Information & Job Trends In this Region
Database Architects in Cumberland, North Carolina design, build, and maintain complex database systems to support various organizational needs. - Entry-level Database Architect salaries range from $55,000 to $75,000 per year - Mid-career Database Architect salaries range from $76,000 to $95,000 per year - Senior Database Architect salaries range from $96,000 to $120,000 per year The role of the Database Architect has been critical in Cumberland, North Carolina since the early 2000s when local businesses began to leverage data for strategic advantages. The initial focus was on optimizing storage and ensuring data security, which laid the groundwork for more advanced data management strategies. Over the years, the profession in Cumberland has evolved from basic data storage solutions to sophisticated systems involving data warehousing, online transaction processing, and cloud-based services. This evolution has been driven by the increasing volume of data and the need for more efficient and secure ways to store, retrieve, and analyze data. Current trends in the field include the integration of artificial intelligence and machine learning technologies to automate database management tasks and enhance data analytics capabilities. There is also a growing emphasis on cybersecurity measures within database architecture to protect sensitive information against breaches and cyber threats.