Quick overview
Job description
Data Architect / Senior Database Administrator (Sr. DBA)
Location Dallas TX Hybrid
Duration 12 Months
seeking an experienced Data Architect / Senior Database Administrator (Sr. DBA) with strong expertise in Relational Database Management Systems (RDBMS), data modeling, and database architecture. The ideal candidate will have the ability to understand complex business requirements and translate them into scalable, efficient, and reliable data models and database designs.
should possess a strong combination of data architecture, database design, performance tuning, and database administration skills, along with the ability to collaborate with business stakeholders, developers, and technical teams.
Key Responsibilities
- Understand business requirements and translate them into logical, conceptual, and physical data models.
- Design, develop, and maintain scalable database architectures and relational database solutions.
- Define database structures, schemas, tables, indexes, views, stored procedures, and relationships.
- Perform database performance tuning, query optimization, and troubleshooting.
- Manage database administration activities, including installation, configuration, upgrades, patching, and maintenance.
- Ensure database security, data integrity, availability, backup, and recovery
- Develop and maintain database standards, best practices, and architectural guidelines.
- Collaborate with business analysts, application developers, and engineering teams to support data requirements.
- Identify opportunities to improve database performance, scalability, and reliability.
- Support data migration, database integration, and modernization initiatives.
- Review existing database designs and recommend improvements.
- Required Technical Skills
- Strong experience with Relational Database Management Systems (RDBMS).
- Hands-on experience with databases such as Oracle, Microsoft SQL Server, PostgreSQL, or MySQL.
- Strong knowledge of SQL, PL/SQL, T-SQL, and query optimization.
- Expertise in conceptual, logical, and physical data modeling.
- Experience with database architecture, schema design, normalization, and indexing.
- Strong understanding of database performance tuning and troubleshooting.
- Experience with stored procedures, triggers, functions, and complex SQL queries.
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