- Administer and maintain MS SQL Server across production and development environments.
- Recommend, design, and build out of new database systems cluster and high availability groups.
- Design and implement database solutions integrated with modern data lake storage and analytics platform.
- Automate routine administrative tasks using scripting languages (PowerShell/Python).
- Identify tools and resources to monitor SQL Server activity and provide key statistics and performance measures.
- Analyzes and troubleshoots problems related to SQL Server Environment.
- Maintains SQL Server plans for DR planning and business continuity including backup verification and restore testing.
- Designs and documents database architecture and standards.
- Perform capacity planning and forecasting to meet growing business and data demands.
- Design, recommend and implement appropriate storage to ensure optimum performance and availability of all database servers.
- Provide 24/7 support for critical situations.
- Develops security measures and policies for SQL Server to prevent unauthorized access.
- Protect personal health information (PHI) while fulfilling the above duties and responsibilities.
Requirements
- Bachelor of Science degree in Computer Science, Information Systems, or a related technical field or equivalent experience.
- At least five years of experience in administration of Microsoft SQL Server at an enterprise level.
- Ability to create and optimize stored procedures, functions, views, indexes, and query optimization plans.
- Strong understanding of complex networking and multi-tier applications and databases.
- Experience designing enterprise systems for high performance, availability, and reporting servers/architecture is required.
- Proficiency in scripting languages, such as PowerShell or Python, is essential for automation.
- You should also be comfortable working in hybrid cloud environments; AWS database services are preferred.
- A strong understanding of database monitoring, alerting, and capacity management tools.
- Experience with Windows Server failover clusters, Microsoft SQL Server Failover Clusters, MS SQL Server Always on Availability Groups, load balancing, and other high availability strategies is preferred.
- Amazon's AWS relational database products experience preferred.
- Data Lake and analytics experience preferred.
- Taking initiative, being accountable, and meeting deadlines are all important components of demonstrating ownership of projects.
- Excellent analytical and problem-solving skills.
- Able to approach work with attention to detail and focus on the product roadmap.
- Able to build and maintain effective working relationships in a team environment, with a diverse group and across functional areas.
- Demonstrates the ability for clear and effective verbal and written communications; demonstrates active listening skills.
- Proficient in English.
Core Competencies
Demonstrates expertise in administering and maintaining Microsoft SQL Server, including designing high availability systems and automating tasks with scripting languages. Proficient in database architecture, security measures, and performance optimization in hybrid cloud environments.
Highest-signal resume keywords
- Microsoft SQL Server Administration
- Database Design and Architecture
- Scripting Languages (PowerShell, Python)
- High Availability Strategies
- Data Lake and Analytics Integration
ATS Optimization Keywords
Hard Skills
- SQL Server Administration
- Stored Procedures Optimization
- Database Monitoring Tools
- Capacity Planning
- Backup Verification and Restore Testing
- Windows Server Failover Clusters
- AWS Database Services
- Query Optimization
- Database Security Measures
- High Availability Groups
Soft Skills
- Analytical Skills
- Problem-Solving Skills
- Attention to Detail
- Effective Communication
- Team Collaboration
Industry Keywords
- Business Continuity
- Personal Health Information (PHI)
- Enterprise Systems
- Multi-Tier Applications
- Load Balancing
Tools & Technologies
- MS SQL Server
- PowerShell
- Python
- AWS
- Data Lake Storage