Database Administrator 4 (HYBRID)

Job DescriptionJob Description

Job Title: Database Administrator 4 (HYBRID)

Location: Richmond, VA

Duration: 12+ Months

Job Description:

A Database Administrator (DBA) is an IT professional responsible for managing, maintaining, and securing an organization's databases, ensuring data is stored, organized, and accessible for analysis and business operations; oversee DB administration tasks like installation, configuration, backup, security, performance monitoring, and troubleshooting database issues.

Core Responsibilities:

• Perform SQL Server Monitoring
• Perform SQL Server Daily Check
• Provide database support for scheduled deployments
• Provide database support for troubleshooting issues
• Automation of tasks to reduce required level of manual intervention
• Track database connections and log the information
• Enforced ISO security requirements and policies
• Conduct an audit of databases access
• Automate alerts for expired/expiring passwords for users in database administrator group
• Check for unauthorized membership to databaseadministrator group
• Report user access anomalies to ISO (Information Security Officer)
• Upgrade older SQL versions to a supported SQL version to take advantage of new security features
• Management of OLTP and OLAP SQL Server environments
• Power BI administration and support
• Snowflake administration and support

After Hour Support

To Note: We expect the consultant to be available as on-demand to support the existing Windows SQL server databases hosted in client. The current DBA's will work to support the client in the event of any windows server, SQL server databases patches and upgrades occurs at least once or twice per month.

• Perform database validations after client patching
• Troubleshoot non-standard job issues including extended delays and failures due to network latency issues, blocking and old code sets not being updated or optimized
• After-hour DBA support requested in advance for enhancements and break fixes
• Perform unplanned database restore by working with client

Additional responsibilities include:

• Perform data engineering activities on the cloud to support data integration, data storage, data consumption, and data governance initiatives.
• Experience with AWS services including S3, Aurora, DynamoDB
• Configure DataManagement practices on AWS using services such as AWS Glue, AWS Data Zone, AWS Glue Data Catalog, API Gateway, and AWS Lambda.
• Leverage/Manage Datastores like Snowflake, SQL servers, RDS
• Implement a modern cloud datastore (Snowflake) to handle both structured and unstructured data.
• Enable automation using scripting like Python or Node.js.
• Provide support and training to end-users to enhance data literacy and tool usage within the cloud data ecosystem.
• Analyze the data lifecycle of business processes to identify opportunities for automation, simplification, and implementing appropriate solutions.
• Set up monitoring, logging, and alerting for cloud infrastructure to ensure system stability and performance.
• Optimize deployment pipelines for Continuous Integration and Continuous Deployment (CI/CD).
• Manage version control using tools like Github, Jenkins and AWS Code Pipeline.
• Collaborate with senior team members and business stakeholders to deliver robust, cloud-based data solutions that improve customer experience.
• Support data governance activities to ensure data reliability, quality, and compliance with standards.
• Assist in designing scalable and resilient cloud engineering solutions aligned with evolving business needs.
• Develop both front-end and back-end components for cloud-based data applications as needed.

Skills:

Skill

Required / Desired

Amount

of Experience

Proficiency in database configuration and management tools

Required

8

Years

Knowledge of, and experience with performance tuning, scripting and automation, troubleshooting and resolving application issues

Required

7

Years

Proficient with database monitoring, database security, database tuning

Required

7

Years

Proficiency with database administration tools for database monitoring, performing routine tasks and troubleshooting issues

Required

7

Years

Experience with data migration in large-scale enterprise environments and data synchronization and replication techniques

Required

7

Years

Hands on experience with data engineering activities on the AWS cloud to support data integration, data storage

Required

7

Years

Hands on experience in using AWS DB services including S3, Aurora, postgres, DynamoDB, Iceberg, and Snowflake.

Required

5

Years

Core experience of configure data management practices on AWS using services such as AWS Glue, AWS Data Zone, AWS Glue Data Catalog, API Gateway

Required

5

Years

Familiarity with version control using tools like Github, Jenkins and AWS Code Pipeline

Required

5

Years

Ability to handle multiple tasks and prioritize effectively

Required

7

Years