Enterprise Database Administrator

Job Title: Enterprise Database Administrator Location: Tallahassee, FL Duration: Long term Contract Responsibilities: a. Experience designing, developing, enhancing, supporting, and maintaining enterprise data solutions, including data architecture, data modeling, data quality, data integration, and reporting solutions supporting complex business applications. b. Experience with relational database design, SQL development, database administration, and performance optimization using MySQL and Oracle, including schema design, SQL tuning, indexing, data integrity, and database security. Experience with Microsoft SQL Server, Azure SQL, or comparable relational database platforms is desirable. c. Experience developing and implementing data quality processes, including data profiling, data validation, data cleansing, data reconciliation, integrity checks, and establishing data quality standards and controls. d. Experience designing and supporting data integration solutions involving MySQL, Oracle, and other enterprise database platforms, including ETL/ELT processes, data migration, data exchanges, APIs, middleware, and integration between enterprise systems. e. Experience using database development, administration, monitoring, and DevOps tools, including MySQL tools, Oracle SQL Developer, Azure DevOps, GitHub, or similar technologies. f. Experience implementing database security, access controls, governance practices, and compliance requirements to ensure the confidentiality, integrity, and availability of enterprise data. g. Experience with cloud-based data platforms and services, including Oracle cloud technologies, Microsoft Azure data services, Amazon Web Services (AWS), cloud databases, data lakes, data warehouses, or similar modern data architectures. h. Experience evaluating, integrating, or developing solutions using artificial intelligence (AI), machine learning (ML), generative AI, large language models (LLMs), retrieval-augmented generation (RAG), intelligent document processing, embeddings, vector databases, NoSQL databases, and similar emerging technologies is highly desirable. Experience: a. Knowledge of data architecture, data modeling, database design, data governance, data management, and data lifecycle principles. b. Knowledge of relational database platforms, including MySQL, Oracle, and Microsoft SQL Server, including schema design, SQL development, query optimization, indexing, stored procedures, and performance tuning. c. Knowledge of data quality principles and practices, including data profiling, data validation, data cleansing, data reconciliation, data integrity, and establishing data quality standards and controls. d. Knowledge of data integration concepts and technologies, including ETL/ELT Version 2.0 CAPS. e. Knowledge of database security principles, access controls, cybersecurity best practices, and regulatory requirements related to enterprise data. f. Knowledge of modern data platforms and architectures, including cloud databases, data lakes, data warehouses, NoSQL databases, vector databases, and other emerging data technologies. g. Knowledge of cloud computing and cloud-based data services, including Microsoft Azure, Amazon Web Services (AWS), Oracle cloud technologies, and similar platforms. h. Knowledge of artificial intelligence (AI), machine learning (ML), generative AI, large language models (LLMs), retrieval-augmented generation (RAG), intelligent document processing, embeddings, and AI-ready data architectures. i. Ability to analyze business and technical requirements and translate them into effective data solutions and architectures. j. Ability to communicate technical information effectively and establish effective working relationships with technical teams, business stakeholders, vendors, and data owners.