Senior Database Management Specialist

Angarai•College Park, MD

11h

About The Position

The Senior Database Management Specialist is responsible for the design, development, administration, optimization, and support of complex enterprise database environments. This role supports large -scale data systems, cloud -based infrastructure, data integration initiatives, and enterprise applications. The ideal candidate brings deep expertise in PostgreSQL, MongoDB, AWS cloud environments, ETL processes, database security, performance tuning, and large -scale data migrations.

Requirements

Minimum six (6) years of experience designing databases, queries, reports, and solutions for large -scale enterprise environments.
Minimum four (4) years of experience building complex data extractions and databases using PostgreSQL, Informatica, and MongoDB.
Minimum four (4) years of PostgreSQL administration including patch management, complex SQL development, stored procedures, and data extractions.
Minimum four (4) years of hands -on database maintenance in production and lower environments.
Minimum four (4) years of experience supporting cloud -based applications in AWS environments (EC2, CI/CD processes).
Minimum four (4) years of experience with DevOps tools such as Jenkins, Bamboo, Maven, Bitbucket, Jira, and Git.
Minimum four (4) years of experience in document management systems.
Minimum four (4) years of monitoring production database activities and batch jobs.
Minimum two (2) years of experience supporting large -volume database migrations.
Strong understanding of database architecture principles including normalization, indexing, partitioning, replication, and high availability.
Experience in data modeling, ETL development, and data warehousing.
Experience optimizing SQL queries and batch performance.

Nice To Haves

Experience supporting large -scale marketplace, eligibility, or health and human services systems.
Experience processing EDI transaction sets such as 834, 820, 999, 270/271.
Strong knowledge of disaster recovery planning and validation of backup/restore processes.
Experience implementing best practices and performance tuning strategies for PostgreSQL and MongoDB.
Experience with NoSQL databases and analytics tools such as Tableau, QlikSense, or Power BI.
Experience with business rules engines and complex rule implementations.
Experience establishing data governance programs, compliance monitoring, and data quality frameworks.
Familiarity with integrated eligibility or large enterprise healthcare -related systems.
Experience working within structured project management and change control environments.

Responsibilities

Design, develop, and maintain complex enterprise databases, data lakes, and data warehouses.
Architect database solutions including data modeling, schema design, normalization, indexing, partitioning, and replication.
Design and implement secure database architectures and access control strategies.
Develop and implement data migration strategies across environments including on -premise and cloud platforms.
Administer PostgreSQL and MongoDB databases including monitoring, backup and recovery, patch management, replication, and disaster recovery (DR).
Perform installation and maintenance of high -availability database environments.
Monitor production database activity including CPU, disk, memory, space utilization, and batch jobs.
Perform hands -on database maintenance including vacuum/full vacuum, analyze operations, and storage management.
Upgrade database servers and manage database storage infrastructure.
Analyze and resolve database and application -tier performance issues.
Optimize SQL queries and NoSQL queries; create and manage indexes.
Implement database performance tuning and capacity planning strategies.
Conduct security hardening of databases including access controls, RBAC, OS configuration, encryption, and authorization mechanisms.
Evaluate security incidents and implement corrective actions.
Support applications hosted in AWS cloud environments including EC2 and related services.
Collaborate with infrastructure and application teams to automate end -to -end cloud operations.
Develop monitoring scripts and alerts to ensure service -level performance targets are met.
Participate in CI/CD processes using tools such as Jenkins, Bamboo, Maven, Bitbucket, Jira, and Git.
Contribute to deployment playbooks, batch sequencing, and system health monitoring.
Design, develop, and support ETL processes to extract, transform, and load data across enterprise systems.
Build complex data extractions, queries, and reports.
Support large -volume database migration initiatives.
Implement data quality checks, validation rules, and governance controls.
Maintain metadata repositories and data dictionaries.
Provide data -related support for unit testing, load testing, integration testing, validation testing, and user acceptance testing.
Review and support database integrations to ensure operational and security compliance.
Support complex web applications, dashboards, and data -sharing initiatives.
Work closely with developers, analysts, and business stakeholders to align database environments with enterprise IT strategy.
Establish and monitor data governance policies and procedures.
Ensure adherence to security and change control processes.
Support architectural planning, system integration testing, and implementation activities.
Flexibility to work overtime, including weekends, holidays, and off -hours as required.