Find & Apply For Database Architect Jobs In Cumberland, Maine
Database Architect jobs in Cumberland, Maine involve designing, implementing, and managing databases to meet organizational needs. Responsibilities include analyzing data requirements, creating data models, optimizing database performance, and ensuring data security. Database Architects collaborate with IT teams to develop database solutions that support business objectives. Below you can find different Database Architect positions in Cumberland, Maine.
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.
Company Manager/Apprentice Coordinator
Portland Stage
Cumberland, ME
Senior Business Data Manager
TD Bank
Cumberland, ME
Director of Development and Alumni Relations Information Services
Bowdoin College
Cumberland, ME
Consulting Manager, Data Engineering
Snowflake Computing
Cumberland, ME
Audit Lead (Risk & Controls)
TD Bank
Cumberland, ME
Principal Product Manager – Data & AI
WEX
Cumberland, ME
Director of Development and Alumni Relations Information Services
Bowdoin College
Cumberland, ME
Latest Jobs in Cumberland
Salary Information & Job Trends In this Region
Database Architects in Cumberland, Maine are essential for managing and structuring data across various industries. - Entry-level Database Architect salaries range from $50,000 to $70,000 per year - Mid-career Database Architect salaries range from $71,000 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 a foundational history in the development of information management systems, adapting over time with technological advancements. Over decades, Database Architecture in Cumberland has evolved from simple data storage solutions to complex systems that support big data and real-time analytics. Current trends in Database Architecture include the use of cloud-based solutions, a focus on security and data privacy, and the increasing importance of AI and machine learning to optimize database performance and insights.
